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Data Analyst - Spring Lake ( Minnesota

Tek Inspirations LLCSpring Lake Park, MN🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationSpring Lake Park, MN, United States
SQLMicrosoft ExcelTableauPythonMachine LearningPower BIData Analysis

Job description

Job Description -

Data Analyst

Duration: 6+ month contract

Location: New Brighton, MN, US

MOI: Video

PV Note: Copy of ID & 2 References

Job Description:

Role Overview

This opportunity supports the organization as it establishes and implements the strategy around business platforms, including but not limited to Field Service Management, Enterprise Resource Planning, and Human Capital Management. The objective is to transition operating companies and branches onto platforms in a strategic manner that optimizes value capture and minimizes disruption. This role specifically provides critical data analysis support for the business transformation program and collaborates with key stakeholders across the organization to facilitate informed decision-making.

Key Responsibilities

  • Collaborate with team members to collect, analyze, and structure large datasets to find usable information.
  • Extract, analyze, and interpret large datasets using SQL to provide actionable insights and generate reports.
  • Mine data from primary and secondary sources, reorganizing it into accessible formats.
  • Perform data cleaning, transformation, and validation to ensure the accuracy and quality of data.
  • Identify, profile, and resolve data discrepancies and inconsistencies to understand upstream and downstream impacts.
  • Partner with business analysts and systems analysts to leverage data visualization tools for dashboards, reports, and graphs.
  • Collaborate with data engineers to validate and coordinate data mappings between source and target systems.
  • Document data analysis processes, methodologies, and findings to ensure reproducibility and accessibility.
  • Work closely with cross-functional teams, including IT, finance, and product development, to provide analytical support.
  • Review datasets for potential business rules to continuously improve overall data quality.

Required Qualifications

Education: Bachelor’s degree in Data Science, Computer Science, Statistics, or a closely related field.

Experience: Two to three years of experience in a data analyst role or a similar analytical position.

Technical Skills: Proficiency in mid-level SQL query development for data extraction, advanced Excel capabilities, and proven experience in data acquisition, source-to-target mapping, and data cleansing.

Preferred Qualifications

  • Familiarity with data visualization tools such as Tableau or Power BI, and experience with statistical software like R or Python.
  • Training or experience with data science, machine learning, or database management technologies in an analytical context.
  • Training or experience with Robotic Process Automation tools.
  • Experience working effectively within a hybrid delivery model spanning multiple time zon

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