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Data Analyst

4 months ago

Fishers, United States Brooksource Full time

Data Analyst

Hybrid- 3 days onsite, 2 days remote (Fishers, IN)

8 month contract (potential to extend or convert)

Pay: $40-45/hr., depending on experience


Roles & Responsibilities

  • Collaborate with team of Data Scientists and Data Engineers to develop innovative data science solutions solving complex business problem
  • Help perform Data Mining, Data Wrangling, and Data Pipeline development for high-visibility data science initiatives
  • Using statistical/automation tools to procure, analyze, and interpret patterns and trends in complex data sets that could be helpful for downstream diagnosis and prediction
  • Create SQL queries to satisfy various business needs
  • Develop new reporting solutions, visualizations and dashboards to support multiple business initiatives using modern Bl development tools including Tableau and Alteryx
  • Clearly convey the key insights or "story" the data reveals in a visual format that is easily understood and actionable
  • Collaborate with stakeholders throughout the project to provide recommendations to address reporting and data needs
  • Provide analytical and technical support for production reports and dashboards, maintenance and support of existing data sources and data integrations.
  • Help build data pipelines and curate data required to build and evaluate ML models

Minimum Requirements:

  • 2+ years of professional experience
  • Bachelor’s degree in Data Science, Computer Science, Mathematics or equivalent field
  • Advanced analytical problem solving skills, attention to detail and an agile and positive mindset
  • Excellent written and verbal communication skills
  • Ability to work independently, prioritize within an interdisciplinary environment that includes data scientists, analysts, business stakeholders and consultants
  • Foundational understanding SQL, python, or other similar programming


Preferred Requirements:

  • Foundational understanding of data extract, transform, and load (ETL) principles and tools
  • Understanding of data exploration, visualization, and BI tools such as Tableau (or equivalent Bl reporting tools)
  • Comfortable developing SQL queries against relational databases with large, complex data sets.
  • Entry-level Python (or R) skills including understanding of common analytics-oriented
  • Foundational knowledge of predictive modeling, machine learning and/or optimization techniques
  • Ability to effectively present to and influence diverse groups of decision makers including senior leadership
  • Ability in prioritizing multiple, complex projects