Hybrid Mid-level Data Analyst

Posted 16 minutes ago

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About the role

  • Data Analyst translating business needs into analytical requirements. Interacting with stakeholders to create reports and dashboards for data-driven decision making.

Responsibilities

  • Develop, maintain, and optimize SQL queries and scripts for extracting and manipulating data from multiple sources.
  • Create, enhance, and maintain Power BI dashboards and reports, ensuring clarity, performance, and standardization.
  • Build efficient data models, applying governance best practices, normalization, and table relationships.
  • Perform exploratory data analysis (EDA) to identify patterns, trends, anomalies, and opportunities for improvement.
  • Translate business needs into clear, actionable analytical requirements.
  • Ensure data quality by performing validations, cross-checks, and periodic audits.
  • Automate data pipelines and analytical processes to increase operational efficiency.
  • Support internal teams with insights, presentations, and technical documentation.
  • Contribute to the development of the company's data-driven culture.

Requirements

  • Experience with SQL (complex queries, CTEs, JOINs, stored procedures, views, and performance tuning).
  • Proficiency in Power BI (DAX, Power Query/M, modeling, governance, and visualization best practices).
  • Knowledge of dimensional modeling concepts, star schema, and BI best practices.
  • Ability to document processes and structure data flows.
  • Solid understanding of basic statistics applied to data analysis.
  • Fluent English.

Benefits

  • Health insurance
  • Dental insurance
  • Profit-sharing (PLR)
  • Life insurance
  • Food allowance
  • Meal voucher
  • Transportation voucher
  • Parking
  • WellHub (Gympass)

Job title

Mid-level Data Analyst

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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