Power BI Engineer

Role : Power BI Engineer

Location: Remote Duration: 6 - 12 Months Contract: W2 Project Summary: HeartBeat is the product in focus. It is an Operational/Analytical data platform started as a data mining system but evolved into analytical reporting. HeartBeat is currently not able to scale full datasets and Optum is limited to processing smaller subsets of data. Even with the limited dataset, analysts are experiencing performance issues including outages and random glitches. Current design does not create for properly compressed/curated dataset for the PowerBI consumption layer; currently it takes 8+ hours to process data through Databricks and PowerBI to make it available for HeartBeat reports.

Position Overview: Looking for a BI Analyst or Reports Developer with Power BI reporting/dashboard experience in an Azure environment. The candidate must have experience working with large amounts of data to move embedded data to the cloud and have an understanding of how API's work. This person will understand and translate business requirements into data-driven solutions and have knowledge of Key Performance Indicators (KPIs) and metrics. Experience working with stakeholders to identify business needs and deliver effective reporting and analysis.

Must Have Skills: • Azure/Power BI (embedded – i.e., know how the APIs work) • Getting data via Alteryx (more of a nice to have) • DAX expressions/Power Query • Will not be focused as much on data movement/manipulation – just reports/dashboards • May do some row level security, but not much

Education and Experience: • Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, Business Administration, or a related discipline. • Previous experience working as a BI Analyst or in a similar analytical role. • Solid understanding of data analysis techniques, statistical concepts, and business intelligence principles.

Analytical Skills: • Proficiency in data analysis and visualization tools such as SQL and Power BI. • Strong quantitative and qualitative analytical skills with the ability to interpret complex data sets and derive actionable insights. • Experience with data modeling, data mining, and statistical analysis. • Familiarity with data warehousing concepts and data integration techniques.

Business Acumen: • Ability to understand and translate business requirements into data-driven solutions. • Knowledge of key performance indicators (KPIs) and metrics relevant to the industry. • Experience working with stakeholders to identify business needs and deliver effective reporting and analysis.

Data Manipulation and Querying: • Proficiency in SQL and advanced querying techniques to extract, transform, and manipulate data from various sources. • Understanding of data cleansing, validation, and transformation processes. • Familiarity with data preparation tools such as Alteryx, Talend, or Informatica is nice to have.

Data Visualization: • Strong data visualization skills with the ability to create clear and visually appealing dashboards, reports, and presentations. • Experience using visualization tools in Power BI. • Knowledge of best practices for designing and delivering intuitive and insightful visualizations.

Communication and Collaboration: • Excellent verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders. • Ability to work collaboratively with cross-functional teams, including data engineers, data scientists, and business users. • Strong presentation skills to deliver findings and recommendations to both technical and non-technical audiences.

Problem-Solving and Critical Thinking: • Strong problem-solving skills with the ability to think analytically and propose creative solutions to complex business challenges. • Detail-oriented mindset with a focus on data accuracy and quality. • Ability to identify trends, patterns, and outliers in data and provide valuable insights to drive decision-making.

Continuous Learning and Adaptability: • Curiosity and passion for staying up to date with the latest trends and developments in business intelligence and data analytics. • Flexibility to adapt to evolving business needs and work in a fast-paced environment. • Ability to quickly learn new tools, technologies, and methodologies.