Data Analyst

Data Analyst

About the Opportunity

Now more than ever, improving the speed and reducing the cost of drug development is a top priority for the biopharma and healthcare industry. At Lokavant, we’re leveraging our unique dataset and advanced analytics to do just that.

We are seeking a thoughtful hands-on Data Analyst to join the rapidly growing team in our New York City headquarters. As the second Data Analyst on the team, you will play a major role in defining our analytics strategy and methodology, and building a culture of data-driven decision making.

The ideal candidate is insatiably curious and unafraid to ask questions; thrives on deriving insights from messy data; and is just as comfortable speaking technically with developers and engineers about data as they are digging into business questions and presenting insights to senior leaders to promote actionable change.

 

Key Responsibilities

  • Collaborate with a cross-functional team of product managers, designers, analysts, and developers to identify, prioritize, and frame data and analysis requirements for deliverables that that will drive product and engineering strategy.
  • Partner with Product and Commercial teams to ask and answer the most important questions with actionable data and insights.
  • Compile, transform, and interpret raw data from multiple sources into accessible analytics-ready data formats using SQL, dbt and Python (as needed).
  • Partner with the Engineering team to build out our proprietary clinical data model.
  • Work with Data Scientists to build predictive models that inform our clinical trial risk monitoring application.

 

Minimum Requirements

  • 3+ years relevant hands-on experience in an analytical function
  • Strong proficiency with SQL. Familiarity with dbt and Python is a (strong) plus
  • Experience building and transforming data models (not simply writing queries)
  • Experience using BI tools such as Looker, Tableau, Mode, Periscope, ...
  • Experience with modern data technologies (e.g. Snowflake, Redshift, GCP, Databricks, …)
  • Exceptional written and verbal communication skills
  • Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills
  • Proactive, self-motivated and self-directed, with the ability to learn quickly and autonomously
  • Bachelor’s degree with strong academic performance in Computer Science, Engineering, Statistics, Mathematics, or equivalent field

 

Preferred (Nice-to-have) Qualifications

  • Basic understanding of applied statistics
  • Experience in the life sciences industry
  • Experience with healthcare data, ideally clinical/operational clinical trial data
  • Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.)
  • Direct experience collaborating with clinical research/operations professionals
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