The company is looking to turn data into insights that inform decisions and drive measurable business outcomes, and the Data Analytics Specialist will play a key role in achieving this goal.
Requirements
- Strong command of SQL for data manipulation and performance‑minded querying.
- Proficiency with Python or R for wrangling, statistical analysis, and automation.
- Expertise in data visualization and dashboard design; ability to apply best practices to communicate insights clearly to technical and non‑technical audiences.
- Working knowledge of descriptive and inferential statistics, experiment design basics (e.g., A/B), and forecasting techniques.
- Familiarity with data modeling concepts (e.g., star schema, slowly changing dimensions) and with large‑scale datasets.
- Power BI or Tableau (advanced), Excel (advanced).
- Exposure to Azure analytics services (e.g., Data Factory, Synapse, Databricks, ADLS).
Responsibilities
- Explore datasets to identify trends, correlations, and anomalies; apply descriptive and inferential statistics to answer business questions and recommend actions.
- Profile, clean, join, and transform data from multiple sources; document data lineage and assumptions to ensure repeatability and trust.
- Design and maintain dashboards, reports, and self‑service artifacts (e.g., certified datasets, KPIs) using Power BI or Tableau; apply visualization best practices and accessibility standards.
- Partner with stakeholders to define business‑ready metrics and guardrails; implement calculations (e.g., DAX or Tableau calc fields) and set row‑level security where appropriate.
- Monitor data quality; contribute to data cataloging and stewardship practices (e.g., Collibra); recommend cleansing/enrichment solutions.
- Translate business needs into analytic requirements; work with data engineers to optimize pipelines and with IT to ensure secure, performant data access.
- Stay current on analytics techniques, tooling, and best practices; proactively improve dashboards, queries, and documentation for performance and usability.
Other
- Bachelor's degree in Data Science, Statistics, Mathematics, Information Systems, Computer Science, Engineering, or a related field from an accredited college or university.
- Minimum of 4 years of experience as a data analyst/BI analyst (or closely related), including hands‑on work with SQL and a major visualization platform.
- Excellent problem‑solving, analytical skills, and attention to detail.
- Excellent oral and written communication and interpersonal skills.
- Customer‑service orientation, positive attitude, and the ability to work independently and as part of a team.
