Senior Data Analyst

Robotics Technologies; Minneapolis (MN); On-site; USD 77,000 - 110,000; Full time

Job summary

Robotics Technologies in Minneapolis, MN seeks a Senior Data Analyst to convert complex business data into actionable insights, focusing on analytics, dashboard reporting, and data quality. The role requires SQL, Python (Pandas/NumPy), and BI tool proficiency to surface trends and KPIs.

The position emphasizes developing interactive dashboards, data cleansing, and presenting findings to stakeholders, with 4–7 years of analytics experience and a Bachelor’s degree in a relevant field.

Qualifications

• Advanced proficiency in SQL, including complex joins, subqueries, and window functions.
• Hands-on experience with Python libraries such as Pandas and NumPy.
• Strong knowledge of Power BI, Tableau or similar visualization tools.
• Experience with Excel, including Pivot Tables, Power Query, and advanced formulas.
• Understanding of data cleaning, transformation, and validation techniques.
• Knowledge of statistical analysis and data interpretation.
• Experience working with relational databases and cloud data platforms.
• Familiarity with KPI development, dashboard reporting, and business intelligence.
• Ability to analyze large datasets and identify data quality issues.

Responsibilities

• Collect, organize, and analyze data from multiple business systems.
• Develop interactive dashboards and reports to monitor business performance.
• Write SQL queries to extract and validate information from databases.
• Identify trends, patterns, and performance indicators within datasets.
• Prepare analytical reports and present findings to stakeholders.
• Perform data cleansing, reconciliation, and quality checks.
• Work with business teams to define reporting requirements and KPIs.
• Automate recurring reports and improve data analysis processes.
• Provide data-driven recommendations to improve business operations.
• Maintain documentation for reports, dashboards, and analytical processes.

Skills

SQL

Python

Power BI

Tableau

Excel

Data analysis

Data visualization

Communication

Education

Bachelor’s degree in Statistics/Applied Mathematics/Economics/Business Analytics/Information Systems

Tools

Power BI

Tableau

Excel

Power Query

Python libraries (Pandas, NumPy)

Job description

The Senior Data Analyst role in Minneapolis, MN will support strategic planning and operational decision-making by converting complex business data into actionable insights. The position focuses on analytics, dashboard reporting, and data quality, using SQL, Python, and business intelligence tools to surface trends and performance indicators.

Location

Minneapolis, MN (onsite)

Duration and Job Details

• Duration: 9 Months + Extension
• Job ID: J54233
• Domain Exposure: Pharmaceuticals
• Client: To Be Discussed Later

Compensation

• Pay rate: USD 68 per hour
• Bill rate: $68/hour (C2C)

Employment type: W-2, 1099, C2C

Work Authorization

• US Citizen
• Green Card
• OPT-EAD
• CPT
• H-1B
• H4-EAD
• Other

Responsibilities

• Collect, organize, and analyze data from multiple business systems.
• Develop interactive dashboards and reports to monitor business performance.
• Write SQL queries to extract and validate information from databases.
• Identify trends, patterns, and performance indicators within datasets.
• Prepare analytical reports and present findings to stakeholders.
• Perform data cleansing, reconciliation, and quality checks.
• Work with business teams to define reporting requirements and KPIs.
• Automate recurring reports and improve data analysis processes.
• Provide data-driven recommendations to improve business operations.
• Maintain documentation for reports, dashboards, and analytical processes.

Requirements

• Advanced proficiency in SQL, including complex joins, subqueries, and window functions.
• Hands‑on experience with Python libraries such as Pandas and NumPy.
• Strong knowledge of Power BI, Tableau or similar visualization tools.
• Experience with Excel, including Pivot Tables, Power Query, and advanced formulas.
• Understanding of data cleaning, transformation, and validation techniques.
• Knowledge of statistical analysis and data interpretation.
• Experience working with relational databases and cloud data platforms.
• Familiarity with KPI development, dashboard reporting, and business intelligence.
• Ability to analyze large datasets and identify data quality issues.

Experience and Competency Requirements

• 4 to 7 years of professional experience in data analytics or business intelligence.
• Strong hands‑on experience with SQL and data visualization tools.
• Experience developing business dashboards and management reports.
• Practical knowledge of Python-based data analysis.
• Experience analyzing structured datasets and business performance metrics.
• Ability to translate complex data into clear business insights.
• Strong communication, presentation, and problem‑solving abilities.

Education

• Bachelor’s degree in Statistics, Applied Mathematics, Economics, Business Analytics, or Information Systems

Preferred Credentials

• Postgraduate qualification in Data Analytics, Quantitative Analysis or Business Intelligence is beneficial.
• Certifications preferred:
  • Microsoft Power BI Data Analyst Associate (PL-300)
  • Tableau Certified Data Analyst
  • Google Data Analytics Professional Certificate
• Experience with real‑world analytical projects and dashboard portfolios is an added advantage.

Technologies

• SQL
• Python
• Pandas
• NumPy
• Power BI
• Tableau
• Excel
• Power Query