About the role
from listingAbout the Role: Data Analyst
We are seeking a detail-oriented Data Analyst to turn raw data into actionable insights, build interactive dashboards, and support data-driven decision-making across cross-functional teams. In this role, you will analyze complex datasets, maintain data pipelines, and partner with stakeholders to solve business problems and optimize performance.
Core Responsibilities
Data Analysis & Insights: Collect, clean, and analyze large datasets to identify trends, patterns, and operational performance metrics.
Dashboard & Reporting: Design, build, and maintain interactive dashboards and automated reports using tools like Power BI, Tableau, or Looker.
Cross-Functional Collaboration: Partner with product, business, and engineering teams to define key performance indicators (KPIs) and deliver actionable recommendations.
Data Modeling & Querying: Write efficient SQL queries to extract data from databases and data warehouses, maintaining data accuracy and integrity.
Process Automation: Streamline data collection and reporting workflows using scripting languages like Python or R.
Documentation & Quality: Document data definitions, analytical processes, and reporting methodologies to ensure consistency and quality control.
Qualifications
Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, Business Administration, or a related field (Required).
Experience: 0–5 years of experience in data analytics, business intelligence, or reporting.
Technical Skills (Required):
Strong proficiency in SQL for data querying and extraction.
Hands-on experience with data visualization platforms (Power BI, Tableau, Looker).
Solid understanding of relational databases and data warehouse concepts.
Scripting ability in Python or R for data analysis and manipulation (Pandas, NumPy).
Advanced knowledge of Microsoft Excel (PivotTables, Advanced Formulas, Power Query).
Preferred Skills:
Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist).
Familiarity with cloud analytics environments (AWS Redshift, Google BigQuery, Snowflake).
Knowledge of statistical methods and basic predictive modeling techniques.
What We Offer
Targeted Placement: Direct marketing to our network of hiring managers in the Data, Technology, and Business Analytics sectors.
Technical Resume Rebuild: Optimization of your profile to highlight data analytics tools, SQL proficiency, and business impact.
Interview Coaching: Guidance on behavioral questions, SQL technical assessments, and data case studies.
Ready to Take the Next Step?
Email your updated resume to: yashwanth.phani@maximatek.com
Seniority level: Entry level
Employment type: Full-time
Industries: IT Services and IT Consulting