Job Title: Data Analyst

PRIVATE PRIVATE
United States
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Application Programming Interfaces (APIs) Amazon Web Services Data Analysis Microsoft Azure Big Data BigQuery Data Validation Data Cleansing Data Governance Data Integration Extract Transform Load (ETL)
+27 more
Data Visualization Relational Databases Google Analytics Python (Programming Language) PostgreSQL Lookup Table Machine Learning Microsoft SQL Server MySQL NumPy Oracle (Applications) Pivot Tables Power BI SQL Databases Tableau (Software) Freeform SQL Google Cloud Macros Azure Data Factory Snowflake Apache Spark Powerquery Pandas Matplotlib Information Technology Data Analytics Databricks

Job description

We are looking for an experienced Data Analyst with 5-8 years of experience who can transform complex data into meaningful insights to support business decision-making. The ideal candidate should have strong analytical skills, hands-on experience with SQL, Excel, BI tools, and data visualization, along with the ability to work with cross-functional teams., * Collect, analyze, and interpret large datasets from multiple sources.

  • Develop dashboards, reports, and visualizations using Power BI, Tableau, or similar BI tools.
  • Write complex SQL queries to extract, manipulate, and validate data.
  • Perform data cleaning, transformation, and validation to ensure data quality.
  • Analyze business trends, customer behavior, and operational performance.
  • Generate actionable insights and present findings to business stakeholders.
  • Work closely with business teams to understand reporting requirements.
  • Create automated reports and improve reporting efficiency.
  • Monitor KPIs and identify opportunities for business improvement.
  • Collaborate with Data Engineers and Data Scientists on data initiatives.
  • Ensure data governance, consistency, and accuracy across reporting systems.
  • Document analytical processes, reports, and data definitions.

Requirements

Technical Skills

  • Strong proficiency in SQL
  • Advanced Microsoft Excel (Pivot Tables, Power Query, VLOOKUP/XLOOKUP, Macros)
  • Power BI or Tableau
  • Python (Pandas, NumPy, Matplotlib, Seaborn) or R
  • Data Modeling
  • Data Cleaning & Data Validation
  • ETL Concepts
  • Statistics and Data Analysis
  • Experience with relational databases (SQL Server, MySQL, PostgreSQL, Oracle)

Good to Have

  • Azure Data Factory / AWS / Google Cloud Platform
  • Snowflake
  • Databricks
  • BigQuery
  • Apache Spark
  • Knowledge of Machine Learning fundamentals
  • Experience with APIs and data integration, * Bachelor’’s or Master’’s degree in Computer Science, Information Technology, Statistics, Mathematics, Data Science, or a related field.
  • 5-8 years of experience in Data Analysis or Business Intelligence., * Strong experience in SQL query writing and optimization.
  • Hands-on experience with Power BI or Tableau dashboard development.
  • Experience in data visualization and storytelling.
  • Experience working with large datasets.
  • Knowledge of statistical analysis techniques.
  • Experience working in Agile/Scrum environments.
  • Strong problem-solving and analytical skills.

Soft Skills

  • Excellent communication and presentation skills.
  • Strong analytical and critical thinking abilities.
  • Attention to detail.
  • Ability to manage multiple projects simultaneously.
  • Stakeholder management skills.
  • Team collaboration and mentoring abilities.

Preferred Certifications

  • Microsoft Certified: Power BI Data Analyst Associate
  • Google Data Analytics Professional Certificate
  • Tableau Certified Data Analyst
  • Microsoft Azure Data Fundamentals
  • AWS Certified Data Analytics (Preferred)

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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