The Data Analyst will gather and validate business and data requirements, collaborate with teams to translate these into technical requirements, and support data governance. They will work with various technology tools and partners to ensure project alignment with business goals and manage data quality.
The Data Analyst & Insights Data Analyst will partner with Team members to understand and align business strategies, requirements and align them to their priorities. They will collaborate with the business and technology partners to translate high-level business requirements into functional, non-functional, and data requirements that will be used by the design teams to build the technical solutions to fulfills our needs.
Key Responsibilities:
- Gather and validate business / technology / data requirements to establish scope and define project impact, outcome criteria, and metrics
- Translate conceptual user requirements into technical requirements in a clear manner that is comprehensible to developers / project team
- Lead Program Increment sessions with Partners to identify 3-6-month priorities. Ensures that plan aligns with long term strategic goals for business Capability
- Ensure the quality, accuracy and efficiency of data, supporting data governance. Drive metadata population and approvals with knowledge of business purpose.
- Communicate with Project team to guide proposed technical solutions. Direct Data engineers on implementation tasks. Analyze suggestions in any production support issues with Data/Analytics Engineers in problem resolution. And within budget.
- Partner closely with Enterprise Architect to create data models in-line with organizations data architecture
- Apply use of technology modelling tools (ie Power BI) to build working prototypes with the help of technical teams to confirm user expectations.
- Help map out team-to-team dependencies and collaborate with capability teams accordingly
Desired Education and Skills:
- Bachelors Degree in computer science, management information systems or related field
- Experience with basic system engineering, object-oriented design, information risk and security guidelines and architecture standards
- Well versed in Analytics & Insights methodologies and tools - example: ADF, ADLS G2, Azure SQL DW, AAS, Power BI, Python, Data exploration & mining
- Understanding of Finance processes is desired; ie General Ledger, Cost Center Accounting, Profitability Analysis etc.,
- Understanding of SAP transactional systems such as ECC, CRM, Hybris is desirable
- Knowledge of Planning applications such as Hyperion, Enterprise Planning Management
- the ability to question experts across departments
Top Skills
Aas
Adf
Adls G2
Azure Sql Dw
Hyperion
Power BI
Python
SAP
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