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Day Shift Python Data Analyst Jobs in Lake Mary, FL

INSPYR Solutions

Data Analyst

Orlando, FL · On-site

$70 - $73/hr

S. Data Analyst The ideal candidate combines strong statistical fundamentals with hands-on ... Build reusable Python-based analysis pipelines and tooling (e.g., using pandas, numpy, scipy ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Advanced skills in SQL, Python and/or R * Familiarity in visualization tools such as Tableau ... days per week. Must be willing to work in the Orlando, FL office. Travel may be required for this ...

Margaritaville at Sea

Data Analyst

Orlando, FL · On-site

Responsibilities: The Data Analyst is responsible for ensuring enterprise data is accurate ... Holidays - All full-time and part-time with benefits employees receive days off for 10 company-wide ...

Judge Group, Inc.

Data Analyst - IT - V

Lake Mary, FL · On-site

Our client is currently seeking a Data Analyst - IT - V Long-term Contract!W2 This job will have ... Python, SQL, Snowflake, Tableau, Dynatrace, and AWS By providing your phone number, you consent to ...

AllSTEM Connections

CRM Analytics Analyst

Orlando, FL · On-site

$104K/yr

... analyze data from platforms such as Google Analytics, Meta Ads, Google Ads, and Microsoft Ads ... Python Experience architecting and managing large-scale data warehouse environments Familiarity ...

AgileEngine

Senior Data Engineer ID75059

Orlando, FL · On-site +1

$99K - $134K/yr

... Python experience is a must); - 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas , Polars , PySpark or DuckDB ; - 2+ years of experience with Big Data ...

AssistRx

Data Reporting Analyst (HealthTech)

Orlando, FL · On-site +1

Every day, our team uses data to bridge the gap between patients and the treatments they need. Join ... As a Data Insight Analyst , you'll play a key role in transforming complex data into actionable ...

Cru

HR - Senior Data Analyst

Orlando, FL · On-site

$85K/yr

Here at Cru we want you to use your gifts to further the Kingdom each day. Every data point and ... The HR Tech Analytics Analyst supports ministry impact/outcome by transforming HR and IT integratio ...

Raytheon

Principal Analyst Data Manager

Orlando, FL

Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and ... We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do

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All JobsDay Shift Python Data Analyst JobsDay Shift Python Data Analyst Jobs in Lake Mary, FL

Day Shift Python Data Analyst information

See Lake Mary, FL salary details

$29.7K

$72.3K

$118.9K

How much do day shift python data analyst jobs pay per year?

As of Aug 2, 2026, the average yearly pay for day shift python data analyst in Lake Mary, FL is $72,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $84,800.00 per year, depending on experience, location, and employer.
What cities near Lake Mary, FL are hiring for Day Shift Python Data Analyst jobs? Cities near Lake Mary, FL with the most Day Shift Python Data Analyst job openings:
Day Shift Python Data Analyst jobs near you
Infographic showing various Day Shift Python Data Analyst job openings in Lake Mary, FL as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,260 per year, or $34.7 per hour.

Data Analyst

INSPYR Solutions

Orlando, FL • On-site

$70 - $73/hr

Contractor

Medical, Retirement

Posted 18 days ago

Job description

Title: Data Analyst
Location: Orlando, FL (Hybrid 4/1)
Duration: 12+ month contract
Compensation: $70.00 - $73.00/hr
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Data Analyst
The ideal candidate combines strong statistical fundamentals with hands-on experience with statistics, machine learning and AI; and is comfortable owning experiments end-to-end (design, instrumentation review, analysis, readout), and can clearly communicate methodology and results to both technical and non-technical audiences.
Responsibilities
  • Design, implement, and analyze A/B tests and other experimental designs (e.g., multivariate tests, holdout groups, switchback experiments) across product and marketing initiatives.
  • Apply causal inference techniques - including difference-in-differences, propensity score matching, synthetic control, regression discontinuity, and instrumental variables - for scenarios where randomized experiments aren't feasible.
  • Determine appropriate statistical tests (t-tests, chi-square, ANOVA, non-parametric alternatives, sequential testing, Bayesian methods) based on data characteristics and business context.
  • Calculate sample size and power requirements, and advise stakeholders on minimum detectable effect, test duration, and experiment feasibility before launch.
  • Build reusable Python-based analysis pipelines and tooling (e.g., using pandas, numpy, scipy, statsmodels) to standardize experiment analysis and reduce time-to-insight.
  • Write and optimize SQL to extract, transform, and validate experiment and behavioral data from large, complex datasets.
  • Partner with Product Managers, Engineers, and Marketers to scope experiments, define success metrics and guardrail metrics, and ensure proper randomization and instrumentation.
  • Proactively identify data quality issues, sample ratio mismatches, novelty effects, and other threats to experiment validity, and flag them before they affect decisions.
  • Communicate experiment design, methodology, and results clearly to stakeholders with varying levels of technical expertise, through written reports and presentations.
  • Build dashboards and visualizations (e.g., in Tableau, Looker, or Python plotting libraries) to track experiment health and results in near real time.
  • Contribute to the evolution of the company's experimentation platform, standards, and playbooks.

Required Qualifications
  • Bachelor's or Master's degree in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field.
  • 5+ years of hands-on experience in data analysis, with 3+ years specifically designing and analyzing A/B tests or experiments in an industry setting.
  • Strong proficiency in Python for statistical analysis and data manipulation (pandas, numpy, scipy, statsmodels, or similar).
  • Demonstrated expertise in statistical hypothesis testing (t-tests, chi-square, ANOVA) and in causal inference methods beyond simple A/B testing (e.g., diff-in-diff, matching methods, regression discontinuity, uplift modeling)
  • Practical understanding of experimental design concepts: randomization, power analysis, minimum detectable effect, novelty/primacy effects, network effects, and common pitfalls (e.g., peeking, multiple comparisons, Simpson's paradox).
  • Ability to translate ambiguous business questions into rigorous, testable analyses and communicate the resulting trade-offs clearly.
  • Experience presenting technical findings to non-technical stakeholders, including executives, in a clear and compelling way.
  • Comfort working with large, sometimes messy, real-world data and identifying/troubleshooting data integrity issues.

Desired Qualifications
  • Experience with experimentation platforms (e.g., Adobe [preferred], Optimizely, Statsig, GrowthBook, or in-house tooling) and/or building internal experimentation frameworks.
  • Familiarity with Bayesian statistics and sequential/always-valid testing methods.
  • Experience with version control (Git) and writing production-quality, reusable analysis code.
  • Background in a consumer product, subscription, streaming, or e-commerce environment.
  • Familiarity with data visualization tools such as Tableau or Looker.
  • Exposure to experimental design in marketing (e.g., geo-testing, media mix modeling) in addition to product experimentation.

Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • ...and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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