Business Data Lead Analyst

The candidate should be able to

Writing / designing analytical reports with Tableau, Excel, and other tools. Executing testing plans to assure the functionality of those reports and that they meet business requirements.

Reviewing existing reports and performance indicators to identify and correct problems within datasets.

Recommending ways to automate / improve data reliability, efficiency, and quality.

Writing / maintaining SQL queries for analysis, ad-hoc, and reporting.

Conducting intensive research, command, and execution of proprietary products.

Conducting interviews with business owners and technical experts to reinforce HFI’s algorithms and modeling frameworks. Report on an algorithm and rules-based metrics.

Documenting, maintaining, and disseminating workflow designs of Data Analytics initiatives to support the improvement of company production, efficiency, and effectiveness.

Assisting the Data Science team in design, documentation, and maintenance system processes.

Scripting in Python to perform ad-hoc analysis, web scraping, and data retrieval from API endpoints and databases for reporting.

Circulating data stories by combining data visualization in Tableau with the narrative flow; breaching barriers between people and data, and engaging the organization towards data-driven decisions.

Assisting other departments with ad-hoc projects.

Identifying, analyzing, and translating complex internal and raw external datasets which create actionable insights necessary for the development of data-driven solutions in response to business challenges. This primarily affects HFI’s models / algorithms which identify viable Social Security applicants.

Candidate should have

Strong command over Adobe Suite, AP Style, and Final Cut Pro.

Experience working with Github, Git, JIRA, Bitbucket, and other version control and ticketing platforms

Working knowledge of cloud technologies like AWS Lamda, AWS Redshift, AWS Athena, E22, S3, Google Cloud, Big Query among others.

Strong analytical, critical thinking, and problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Adept at queries, report writing, and presenting findings.

High level of attention to detail in organizational and documentation areas.

Excellent interpersonal, organizational, communication, and presentation skills.

Ability to manage multiple tasks and deadlines simultaneously; exhibits flexibility and tolerance for ambiguity with the ability to thrive in a rapidly changing business environment; self-starter; and results-oriented.

Experience with Tableau, Tableau Server, Plotly, PowerBI, Alteryx highly desirable.

Expert-level knowledge of MS Office Suite; especially Excel, Word and PowerPoint.

Experience with MySQL, Python (highly preferred), and R.

Minimum of 5 years of experience in the business environment as a Business Analyst / Data Analyst.