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Data Quality Analyst

Lux Research is a rapidly growing company providing strategic advice and on-going intelligence on emerging technologies. Leaders in business, finance, and government rely on us to help them make informed decisions around innovation and technology. Within Lux’s software development and data [CL1] team, you’ll find new and uniquely interesting problems to solve. You’ll analyze data from uncommon sources and uncover insights on emerging technologies in fields like advanced materials, renewable energy, and robotics.

Lux Research is looking for a Data Quality Analyst to lead our efforts on data quality, specifically for our data covering technology start-ups and other innovative companies. You will be responsible for supervising the quality outputs of a small remote team of data QA specialists, who work to ensure the information we have collected about those companies is accurate and presentable. You will also be communicating and collaborating with Lux Research’s software development team to provide feedback on opportunities to improve our automated data ingestion and clean-up, as well as with Lux Research’s analyst team to understand domain-specific nuances within each industry and technology area that we cover.

What you’ll do:

  • Review, analyze and ensure the quality of data loaded into our database, ensuring adherence to data quality standards
  • Review all data fields for accuracy before release of data to client-facing deliverables
  • Proofread documents to verify that information is correct, resolving all data exceptions in a timely and accurate manner
  • Perform root cause analysis of data discrepancies; develop process improvements to enhance overall data quality; and make recommendations for long-term solutions
  • Ensure overall quality and accuracy of outputs of remote data QA specialists
  • Identify, compare, and accurately resolve data quality problems including collaborating with software programmers to correct data quality errors
  • Work collaboratively with the software development team, the market intelligence team, and Lux departments in general to fully understand data quality related issues and possible solutions

What we must have:

  • Bachelor’s degree (at minimum) in mathematics, economics, computer science, information management or statistics
  • 2 – 4 years of experience leading data quality assurance processes on large datasets, including structured and unstructured data
  • Ability to understand complex data models and data relationships, as well as ability to follow data transfer and analytics through multiple layers
  • Experience reviewing and quality controlling work of others
  • Working knowledge of databases and software development processes – enough to communicate effectively with data engineers and back-end programmers (topics like data warehousing, ETL, and data analytics)
  • Great communication and organizational skills are essential, including the ability to meet deadlines in a fast-paced, collaborative workplace

What would set you apart:

  • Experience reviewing and quality controlling work of a remotely based team
  • Having familiarity with science and engineering related topics, particularly in the context of emerging technologies and start-ups
  •  [CL1]I added in “and data” here to help clarify that we don’t just do software development, but also tasks around data (like quality analysis).

Lux Research is an Equal Opportunity Employer

Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, handicap, race, color, religion, gender, gender identity and expression, ancestry, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or other categories protected by law. Lux Research participates in E-Verify. We will provide the Social Security Administration information from each new employee’s I-9 to confirm work authorization.

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