Data Analyst

2 months ago


Fishers, United States Brooksource Full time

Data Analyst

Pay: $35-38/hr, depending on experience

Location: Fishers, IN (hybrid schedule)

3 month contract (potential to extend)

*not able to provide sponsorship

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


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