Statistical Programming Analyst (Onsite)

TM Floyd and Company

$114K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6 years of experience in statistical programming or interpretation
  • Preferred: 8 years in statistical practices and 5 years with statistical software
  • Extensive programming skills with cloud platforms like Snowflake or Databricks
  • Experience with data visualization tools such as Power BI or Tableau
  • Proficient in Python and SAS for data management and analysis
  • Self-driven and adaptable with a commitment to learning new tools
  • Team leadership skills and ability to guide others

Responsibilities

  • Lead the transition of SAS programs to Python on the on-premises data warehouse
  • Produce routine and ad hoc reports, primarily using Excel
  • Conduct training sessions to address identified weaknesses
  • Collaborate with statistical analysts to translate analytics into actionable insights
  • Mentor team members and foster a data-driven culture

Benefits

  • Generous array of benefits based on assignment length
  • Referral bonus of up to $1,000
  • Potential for professional development opportunities
Full Job Description
We're looking for a Statistical Programmer Analyst for an onsite role in Columbia, SC.

Work Authorization: U.S. citizens and Green Card holders only. Sponsorship is not available for this role; no C2C or third-party candidates. Candidates must be able to work on our W2.

Skills & Qualifications:
  • 6 years of experience in statistical programming or statistical interpretation
  • Preferred: 8 years of experience with statistical practices and 5 years of statistical software and relational database experience
  • Extensive programming skills using cloud-based data platforms like Snowflake or Databricks
  • Experience with data visualization/dashboard tools such as Power BI or Tableau
  • Proficient in data management and analysis using Python and SAS
  • Self-driven and adaptable, with a desire to stay current with evolving tools
  • Team leadership skills
  • Ability to make complex data understandable for any audience
  • Decisive when faced with ambiguity

Key Responsibilities:
  • Lead the transition of SAS programs to Python on the on-premises data warehouse
  • Produce routine and ad hoc reports, primarily in Excel
  • Respond to questions and provide training when weaknesses are identified
  • Collaborate with a team of statistical analysts to translate analytics into actionable guidance
  • Engage in mentorship and contribute to a data-driven workplace culture

Education/Certifications:
  • Bachelor's or Master's degree in Statistics/Biostatistics, Mathematics, Computer Science, or other job-related field
  • Master's degree preferred

The hourly rate for this position is $55.00.

Ideal Candidate:

The ideal candidate is a self-driven and adaptable professional with extensive programming skills in cloud-based data platforms like Snowflake or Databricks. They should be proficient in Python and SAS for data management and analysis and experienced with data visualization tools such as Power BI or Tableau. A strong communicator, the candidate can make complex data understandable for any audience and is decisive when faced with ambiguity. A bachelor's or master's degree in a relevant field is required, with a preference for candidates holding a master's degree and extensive experience in statistical practices.

We offer a generous array of benefits, depending on the length of assignment. We also offer a referral bonus of up to $1,000. Ask us for more details!

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