Data Analyst

MAXIM ENTERPRISES, INC.
Berkeley, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Berkeley, United States of America

Tech stack

Microsoft Excel
Data analysis
Big Data
Information Systems
Databases
Data Warehousing
Relational Databases
Database Queries
Document-Oriented Databases
Excel Formulas
Python
NumPy
Pivot Tables
Raw Data
Power BI
SQL Databases
Tableau
Scripting (Bash/Python/Go/Ruby)
Snowflake
Powerquery
Pandas
Information Technology
Data Analytics
Google BigQuery
Looker Analytics
Redshift

Job description

About the Role: Data Analyst, 1. Data Analysis & Insights: Collect, clean, and analyze large datasets to identify trends, patterns, and operational performance metrics.

  1. Dashboard & Reporting: Design, build, and maintain interactive dashboards and automated reports using tools like Power BI, Tableau, or Looker.
  2. Cross-Functional Collaboration: Partner with product, business, and engineering teams to define key performance indicators (KPIs) and deliver actionable recommendations.
  3. Data Modeling & Querying: Write efficient SQL queries to extract data from databases and data warehouses, maintaining data accuracy and integrity.
  4. Process Automation: Streamline data collection and reporting workflows using scripting languages like Python or R.
  5. Documentation & Quality: Document data definitions, analytical processes, and reporting methodologies to ensure consistency and quality control., 1. Targeted Placement: Direct marketing to our network of hiring managers in the Data, Technology, and Business Analytics sectors.
  6. Technical Resume Rebuild: Optimization of your profile to highlight data analytics tools, SQL proficiency, and business impact.
  7. Interview Coaching: Guidance on behavioral questions, SQL technical assessments, and data case studies.

Requirements

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., 1. Education: Bachelor's degree in Data Analytics, Computer Science, Statistics, Information Systems, Business Administration, or a related field (Required).

  1. Experience: 0-5 years of experience in data analytics, business intelligence, or reporting.
  2. 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).
  1. 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.

Apply for this position