8 Data Analyst jobs in Australia
Data analyst
Posted 7 days ago
Job Viewed
Job Description
About Snowy:
Snowy Hydro is a dynamic, integrated energy business that has been providing on-demand, reliable energy to Australia for generations. Snowy Hydro owns and operates a powerful combination of generation assets, including the mighty Snowy Mountains Scheme, gas and diesel plants, and contracted wind and solar energy. We also provide electricity and gas to over 1.5 million retail customers through our retail brands Red Energy and Lumo Energy. Snowy 2.0 is Australia's largest committed renewable energy project. This nation-building project will provide on-demand energy and large-scale storage for many generations to come.
About the position:
The Workforce Transformation Data & Insights Analyst is a newly created position that is essential to Snowy’s future growth.
The role has been long-anticipated in the organisation, and there is a genuine desire for it. There is a significant amount of work to be done in this space, so the successful candidate will have a real ability to make a difference and enhance capability maturity for Snowy and its workforce.
Key Responsibilities:
- Applying advanced analytics and data science techniques to workforce transformation
- Benchmarking Snowy Hydro’s employee experience and workforce planning against industry standards and best practices
- Designing and maintenance of scalable, automated reporting and dashboards
- Presenting data to senior stakeholders to improve the employee experience
- Shaping a data-informed culture within the Workforce Transformation function by contributing to training and sharing of knowledge
About the location:
This role is based in Sydney.
About you:
- You come from a data-driven background
- You have strong communication skills, both in person and presenting to groups, with the ability to make data concepts understandable
- You’ll bring experience using automated tools and dashboards (Tableau, Power BI or similar)
- A tertiary qualification in Human Resources, Statistics, Data/Computer Science or a related field
- A demonstrated experience of modelling HR data from systems such as SAP Success Factors and familiarity with digital data sources such as survey tools (eg; Qualtrics)
- Strong analytical capabilities to identify trends and drive data-informed decisions.
About our workforce:
Snowy Hydro has a culture of decency and inclusion, with a commitment to the health and wellbeing of our people and a supportive environment to ensure that everyone - regardless of background - feels included and can succeed. At Snowy Hydro, we recognise that we are made stronger by the unique capabilities and qualities that each individual brings, and we believe in providing an environment that allows that uniqueness to thrive.
Snowy Hydro is proud to be an Equal Opportunity employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for a role with Snowy Hydro and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an email with your request to the Snowy Hydro recruitment team at
Data Analyst
Posted 17 days ago
Job Viewed
Job Description
Leading multinational software company with over 150,000 customers and millions of users across their product range, whose goal and is to change the way people work together with customer experience at the forefront of everything they do. Central modern offices, with an amazing culture, consistent growth, and investment in unleashing the potential of every member of the team.
About the Role:
The Data Analyst will oversee the management and enhancement of our client’s database systems. You’ll begin with the Migration Data Science team, helping enterprise customers move from on-prem data centres to the cloud. You’ll build datasets, analyse customer journeys, and create dashboards that deliver real insights and help improve the cloud migration experience. You’ll work closely with Data Scientists and stakeholders across the business in a highly collaborative, data-driven environment.
Key Responsibilities
• Migrate existing dashboards to a new data system
• Build robust datasets and ETL processes to streamline analysis
• Generate insights to uncover patterns and trends
• Develop and maintain dashboards in Databricks or Tableau
• Communicate findings clearly to technical and non-technical audiences
• Provide regular progress updates and manage deliverables effectively
About You
• 8+ years’ experience in data analysis, BI, or analytics roles
• Advanced SQL skills
• Strong experience in Python or R
• Proficient in Tableau or Databricks
• Excellent written communication and stakeholder engagement skills
• Strong organisational and project management abilities
Why You’ll Love It
• Work 100% remotely from anywhere in Australia
• Join a global, high-performing SaaS organisation at the forefront of data innovation
• Collaborate with world-class Data Scientists and engineers
• Work on meaningful projects that make a tangible impact
If you’re an experienced Data Analyst who thrives in a fast-paced, analytical environment and loves turning data into meaningful insights, we’d love to hear from you.
Great Chance to join a market leader! For more info contact Nic on
This is a critical role for our client, please click ‘apply now’ and quote #
Senior Data Analyst
Posted 10 days ago
Job Viewed
Job Description
LexisNexis Legal & Professional, a division of RELX, is a global leader in providing information-based analytics and decision tools for professional and business customers. With a presence in over 150 countries and a workforce of 11,300 employees worldwide, we are committed to delivering exceptional service and innovative solutions.
Our team, based in the APAC region, plays a crucial role in supporting all regional functions through comprehensive reporting and data-driven insights. We are currently undergoing an exciting transition, where we are enhancing our data capabilities and embracing Machine Learning and Predictive Analytics to better support our business objectives and drive growth.
Our team is composed of high-performing professionals who collaborate across business units to deliver insights that shape strategic decisions. You'll work closely with stakeholders across departments and geographies, including mentoring junior analysts and supporting organisational development initiatives.
About the Role
As a Senior Data Analyst III, you will lead analytics efforts and projects with full autonomy, from defining scope and approach to delivering actionable insights and business recommendations. You will be a thought leader in your domain, creating advanced insights that extend into adjacent areas of expertise and designing best practices that elevate analytics across the organisation. This role demands a strategic mindset and hands-on technical expertise. You will provide leadership and mentorship to the Data team, fostering a collaborative environment and enhancing team capabilities. You'll manage complex analytics and data projects, ensuring timely delivery within scope, while overseeing key functional spaces of data visualisations optimising its efficiency, scalability, and security. You will actively support organisational development by training stakeholders in analytics best practices and promoting a culture of data-driven decision-making. Your responsibilities will also include, developing and maintaining data models and collaborating with cross-functional teams to define analytics requirements and delivering impactful solutions. This is a high-impact role for someone who thrives on solving complex problems, influencing strategic decisions, and driving continuous improvement in data processes, governance, and technology adoption.
Responsibilities
+ Provide leadership and mentorship to the Data team, fostering a collaborative environment and enhancing team skills.
+ Lead analytics efforts and projects independently, including defining scope and approach.
+ Manage projects to ensure timely delivery within scope and quality standards.
+ Collaborate with stakeholders to enforce data quality and governance, assess and implement new technologies, and monitor analytics solution performance for continuous improvement.
+ Develop and maintain data models and products that support advanced analytics and reporting requirements.
+ Aim to uncover meaningful insights and deliver actionable business recommendations
+ Drive and develop new dashboards when new products are launched.
+ Continuously optimise data processes and workflows to improve efficiency, scalability, and reliability.
+ Perform data analysis and profiling to identify data quality issues, inconsistencies, and gaps.
+ Consolidate data accurately from various sources to conduct analysis and present findings & insights.
+ In a team setting, add value to conversations to develop, construct, install, test, and maintain data architectures (databases, large-scale processing systems, and data pipelines) that support ETL and Data Visualisations processes.
+ Write technical and release documentation including specifications, testing strategies, and performance benchmarks.
+ Collaborate with leadership teams to understand data needs and define analytics requirements.
+ Identify and make recommendations for improvement to existing processes and procedures.
+ Endorse and advocate for the benefit of change initiatives to functional leaders.
Requirements
+ Master's or PhD in Data Science, Statistics, Mathematics, or a related field.
+ 6-9 years of relevant experience in data analytics.
+ Strong business facing stakeholder management and project leadership skills.
+ Proven ability to lead large-scale strategic analytics programs.
+ Excel in teaching and directing others with a supportive and caring demeanor.
+ Demonstrates expert proficiency in preparing data using a variety of tools and programming languages. (SQL, Python, R)
+ Ability to effectively leverage big data platforms to maximize analytical value.
+ Can design and create compelling visualizations to influence stakeholders.
+ Able to identify opportunities and barriers, suggest solutions, and bring these to the attention of others, including those outside of the analytics team.
+ Demonstrated expertise in data modelling, statistical analysis, and data blending.
+ Deep understanding of industry trends and adjacent disciplines.
+ Experience in designing and maintaining scalable data architectures and pipelines.
+ Experience with customer usage data; how are subscribers using a system.
+ Financial / Accounting background. Including monthly closing processes, adjustment processes, contract management, and variance analysis.
+ Solid networking background: ability to design & troubleshoot firewall access & connectivity issues between systems.
Platforms & Tools
+ Extensive use of Databricks & the Medalion Architecture
+ Extensive use of Amazon Redshift
+ Business Events Data / Metadata Tagging Systems
+ Python libraries central to Analytics & ML (Scikit-learn, NumPy, Pandas, Matplotlib, etc.)
+ Strong knowledge of Power BI / Tableau
+ Microsoft Fabric Ecosystem
+ Database Management Tools (DBeaver, SSMS, etc.)
+ Machine Learning & Predictive Analytics Modelling is Advantageous
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, Paid Parental leaves, Volunteering leaves, Birthday leave, we will help you meet your immediate responsibilities and your long-term goals.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
+ Optical Assistance
+ Life assurance and income protection
+ Option to buy additional Annual Leave days
+ Employee Assistance Program
+ Referral Bonus
+ Flexible working arrangements
+ Benefits for you and your family
+ Access to learning and development resources
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
To learn more about opportunities with LexisNexis or RELX Global, join us here:
now with your CV and cover letter outlining how your background aligns with the role.
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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Workforce transformation data analyst
Posted 9 days ago
Job Viewed
Job Description
Business Unit: Safety People & Services
Date: 14 Oct 2025
Requisition ID: 606
About Snowy
Snowy Hydro is a dynamic, integrated energy business that has been providing on-demand, reliable energy to Australia for generations. Snowy Hydro owns and operates a powerful combination of generation assets, including the mighty Snowy Mountains Scheme, gas and diesel plants, and contracted wind and solar energy. We also provide electricity and gas to over 1.5 million retail customers through our retail brands Red Energy and Lumo Energy. Snowy 2.0 is Australia's largest committed renewable energy project. This nation-building project will provide on-demand energy and large-scale storage for many generations to come.
About The Position
The Workforce Transformation Data & Insights Analyst is a newly created position that is essential to Snowy’s future growth.
The role has been long-anticipated in the organisation, and there is a genuine desire for it. There is a significant amount of work to be done in this space, so the successful candidate will have a real ability to make a difference and enhance capability maturity for Snowy and its workforce.
Key Responsibilities
- Applying advanced analytics and data science techniques to workforce transformation
- Benchmarking Snowy Hydro’s employee experience and workforce planning against industry standards and best practices
- Designing and maintenance of scalable, automated reporting and dashboards
- Presenting data to senior stakeholders to improve the employee experience
- Shaping a data-informed culture within the Workforce Transformation function by contributing to training and sharing of knowledge
This role is based in Sydney.
About You
- You come from a data-driven background
- You have strong communication skills, both in person and presenting to groups, with the ability to make data concepts understandable
- You’ll bring experience using automated tools and dashboards (Tableau, Power BI or similar)
- A tertiary qualification in Human Resources, Statistics, Data/Computer Science or a related field
- A demonstrated experience of modelling HR data from systems such as SAP Success Factors and familiarity with digital data sources such as survey tools (eg; Qualtrics)
- Strong analytical capabilities to identify trends and drive data-informed decisions.
Snowy Hydro has a culture of decency and inclusion, with a commitment to the health and wellbeing of our people and a supportive environment to ensure that everyone - regardless of background - feels included and can succeed. At Snowy Hydro, we recognise that we are made stronger by the unique capabilities and qualities that each individual brings, and we believe in providing an environment that allows that uniqueness to thrive.
Snowy Hydro is proud to be an Equal Opportunity employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for a role with Snowy Hydro and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an email with your request to the Snowy Hydro recruitment team at
Senior principal data analyst
Posted 10 days ago
Job Viewed
Job Description
- Faculty of Engineering, Architecture and Information Technology
- Full-time (100%), permanent position
- Base salary will be in the range $115,645.22 - $29,654.48 + 17% Superannuation (HEW Level 8)
- Based at our St Lucia Campus
The Senior Principal Data Analyst will provide data analytics, reporting, modelling and data visualisation support to the EAIT Faculty as part of the Learning Enhancement Team. This includes data extraction, cleaning and analysis; student load modelling; plan, program and curriculum learning visualisation and analysis; thematic analysis of student feedback, student progression outcomes and other data analysis and reporting as required to meet the Faculty’s learning and student experience goals. This position will span all areas of the teaching and learning portfolio but retain a particular focus on supporting the forthcoming engineering accreditation process.
Key Responsibilities Will Include
- Extract, aggregate, visualise, and report relevant data and curriculum information to support accreditation of programs.
- Analyse and interpret data from university systems to enhance information quality and support evidence-based decision-making.
- Develop, test, and monitor learning performance metrics and indicators affecting students and academics.
- Collaborate with Planning and Business Intelligence to analyse market data for potential new academic programs.
- Advise senior management on emerging data needs related to learning and learner performance, proposing strategies for data collection.
- Design, build, and present clear reports and visualizations using tools like Python, R, SPSS, Tableau, Power BI, and UQ systems.
As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world.
Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community.
Benefits
Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as:
- Up to 26 weeks paid parental leave/paid primary care leave
- 17% superannuation contributions + 17.5% annual leave loading
- Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight
- Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family
- Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program
- On campus childcare options
- Affordable parking (from just $6.15 day)
- Salary packaging options
- Postgraduate qualifications or progress towards relevant postgraduate qualifications and extensive experience within the educational sector; extensive relevant experience and management expertise; or an equivalent combination of relevant experience and/or education/training.
- Understanding of the development and implementation of performance indicator frameworks as they might be applied to learning analytics.
- High level computer competency, including the ability to use modelling, statistical analysis and visualisation software, together with supporting technologies such network and cloud-based storage frameworks.
- Experience in the use of statistical software such as R, SPSS or similar tools.
- Demonstrated ability to extract and manipulate complex data-sets and proven high level conceptual and analytical skills for investigating issues, problem-solving and interpreting trends, policies and practices.
- A proven ability to be highly organised and self-managing, including a demonstrated capacity to establish work priorities, meet timelines and achieve project management priorities, work independently and accept responsibility.
- Excellent interpersonal skills (including written and verbal communication), with experience in liaising with internal and external stakeholders, including the ability to provide advice and negotiate to achieve desired outcomes.
- An understanding and awareness of the environment and current issues in higher education is desirable.
- Experience in the use of the Business Objects and/or Tableau data management tool would be well-regarded.
Work Rights
You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.
Questions?
For more information about this opportunity, please contact Ms Belinda Benes via
For application inquiries, please reach out to the Talent Acquisition team at , stating the job reference number (below) in the subject line.
Want to Apply?
We Welcome Applications From All Individuals And Are Committed To An Inclusive And Accessible Recruitment Process. To Be Considered, Please Ensure You Upload
- Resume
- A cover letter summarising how your background aligns with the 'About You' section
Other Information
UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who do not meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.
Applications close on Sunday, 26 October 2025 at 11.00pm AEST (R-56728).
Data Analyst, Business Insights and Analytics
Posted 4 days ago
Job Viewed
Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**How will you make an impact in this role?**
American Express is looking for a Data Analyst/Sr. Data Analyst, Business Insights and Analytics for the issuing business in Australia and New Zealand. This role will report to the Sr. Manager, Business Insights and Analytics for our International Card Services (ICS) business. This is a critical technical role that will help innovate and progress our analytics capabilities to support our growth plans while enhancing our focus on control and compliance.
This role will work in close partnership with multiple teams across our issuing business to understand & identify opportunities to leverage our data and systems to provide analytics and automated reporting to support strategic decision making and respond to an ever changing regulatory environment. The role is a technical role which will focus on coding, problem solving, putting together complex reports for the business, and working with stakeholders to make data driven decisions.
**Key Accountabilities:**
1. **Support Development of Strategic Plans and Initiatives:** Provide analytics support to Product, Acquisition, Loyalty, Partnership, and Marketing teams on the development of key strategic initiatives. This will include end to end analytics from writing code to pulling data, reviewing the data with manager, packaging data, deriving insights, and presenting to partners.
2. **Compliance and Operational Risk:** Create analytics to support American Express' response to a rapidly changing regulatory environment. Develop and automate reporting to assist with identification and remediation of operational risk events, compliance with regulation, and ensure all reporting documentation is complete and well maintained.
3. **Program Analytics:** Ongoing analysis of key product metrics, profitability levers, customer behaviours, and trends. Generate insights and analysis to support portfolio management.
4. **Management of Analytical Databases:** Production and upkeep of internal databases, run and refreshed on a regular basis. Investigate and problem solve if issues arise with existing processes.
**Requirements/Competencies:**
+ Strong technical background in analytics and stakeholder management.
+ Expertise in coding skills with emphasis on SQL, Python, and BigQuery.
+ Advanced Excel and PowerPoint skills.
+ Proficiency with data visualization tools such as Tableau or PowerBI.
+ Strong analytical and problem solving skills with the ability to turn data into insights.
+ High attention to detail & strong time management skills.
+ Ability to influence leaders/partners & strong communication skills.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** Australia-New South Wales-Sydney
**Schedule** Full-time
**Req ID:**
Senior Financial Analyst, Data Center Finance
Posted 2 days ago
Job Viewed
Job Description
Amazon is a fast paced, dynamic, high-tech Company based in Seattle, with offices and employees around the globe. Amazon has a history and tradition of leading the world in Web-related technologies and services. The Harris Poll recently found Amazon to be the most trusted company in the United States, with products and services ranked over Apple and Google. One of those products is Amazon Web Services (AWS). Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud.
AWS has an immediate opening in Sydney, Australia for a Senior Financial Analyst to join our Data Center Finance team in Asia-Pacific. In this role you will work with regional AWS leadership to lead financial controllership of AWS Data Center Community and improve financial performance. On the AWS Finance team, you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too!
The Data Center Finance team is part of the Asia-Pacific Infrastructure team. We provide end-to-end financial support driving AWS to be the low-cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in designing, building, operating and innovating our Cloud data centers. We support operations, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers.
Key job responsibilities
- Serve as the key business partner working directly AWS senior management and other internal stakeholders to provide financial recommendations.
- Drive cost savings by identifying opportunities and benchmarking across vendors and locales.
- Work across teams on cost savings projects, automation and improvement initiatives with finance, construction, IT and design.
- Conduct regular face to face and virtual meetings in the Asia-Pacific region to support business partners and drive further efficiencies.
- Manage the financial planning and analysis effort and forecast various metrics for financial risks and opportunities.
- Report on the financial performance and lead in the preparation of weekly, monthly and annual financial reviews.
- Develop ad hoc business analysis and present recommendations to AWS senior management.
- Monitoring compliance with controls and systems, and developing new processes and controls to support the fast-growing, global AWS business.
Basic Qualifications
- 4+ years of creating process improvements with automation and analysis experience
- 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
- Bachelor's degree in finance, accounting or related field, or MBA and 5+ years of finance or a related analytical field experience
- Business partnering experience
Preferred Qualifications
- MBA, or CPA
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
- Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
- Able to work well with cross functional teams. Comfortable with ambiguity and demonstrated ability to work independently and self-motivate in a fast paced and rapidly-changing environment
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Business intelligence Uplift
Posted 615 days ago
Job Viewed
Job Description
The establishment of formal data management and data governance functions in accordance with industry best practices (e.g. DAMA DMBOK) as part of maturing its organisation-wide data capability with specific focus on the business intelligence function.
The Business Intelligence team requires a review and enhancement of documentation governing the approach and plans for management of the data created, stored and curated by the team. These documents would be scalable for implementation across the organisation and set a firm foundation in the rigour and processes of the function moving forward.
Through this engagement, the focus will be to build and document a data governance framework, with policies and templates for data management to support key activities.
In establishing a sustainable and fit-for-purpose Data Governance approach, key deliverables may involve:
· reviewing existing governance arrangements
· establishing oversight structures and a data governance framework
· developing policies and procedures for data management to support the framework
· identifying opportunities and risks and recommending actions to manage and mitigate
· defining roles and responsibilities
Examples of areas that may require formalised data policies and procedures include:
· Data access
· Data security
· Data storage
· Data retention and disposal
· Metadata management
· Cataloguing data
· Data quality management
· Handling sensitive data
· Releasing data
A rigorous but light-touch governance approach is suitable, in line with best practice but scaled for our organisation and flexible enough for our small dynamic team. The above is not to be taken as exhaustive, and the Office will be expecting the development of any other relevant artefacts to support effective data management.
As the next stage to our continuous improvement of the business intelligence function, the Office is looking to uplift its business requirements management processes to enable more effective, efficient and targeted business outcomes.
In addition to internal business reporting, there is a critical need to develop mature data products that satisfy and automate the statutory reporting obligations of the organisation.
To do this, we are seeking to engage a consultancy to:
· gather and document stakeholder requirements, based on industry-best practices (e.g. BABOK) and tailored to the needs of the organisation
· review our existing suite of BI products (dashboards, reports etc.)
· recommendations for the development of a pipeline/program of work to provide clarity on the prioritised dashboards and reports scheduled for build and specify the business requirements they will satisfy
· design and document a regime of governance, discovery, preparation, planning, building, publishing, and implementing for every new data project
· internal data use cases and personas for key roles and teams
· enhance understanding of the BA process through delivery of training
Specific deliverables include, but are not limited to:
· review and update Business Requirement Specification documents,
· interview stakeholders including workshops,
· document requirements,
· holistic review of existing dashboards and reports against requirements,
· design of a development pipeline/program of work based on those requirements,
· develop and document a process to facilitate build phase.
Essential criteriaDemonstrated understanding of the Services required, including the identification of any key challenges and principles.Demonstrated experience in providing the similar services to the services described.