Technical Analyst

INSPYR Solutions

Lake Buena Vista (FL)

On-site

USD 117,096 - 130,872

Full time

14 days+

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Benefits offered by this job

Comprehensive medical benefits

401(k) Retirement plan

Competitive pay

Job summary

A technology solutions provider is seeking a Retail Data Insights Analyst in Orlando, FL. The role involves conducting analyses to improve business performance and developing dashboards for data visualization. The ideal candidate should have strong experience with SQL, Tableau, and a background in retail analytics. This contract position offers competitive compensation between $85.00 and $95.00 per hour.

Qualifications

4+ years of relevant experience in a retail analytics or business intelligence role.
Strong understanding of retail KPIs and operations.
Advanced SQL skills to extract, join, and transform large datasets.

Responsibilities

Conduct deep-dive analyses on retail performance including pricing and promotional effectiveness.
Develop intuitive, automated Tableau dashboards.
Collaborate with merchandising, marketing, finance, and technology teams.

Skills

SQL

Data Visualizations (Tableau)

Python

Retail Analytics

Business Acumen

Education

Bachelor's degree in Mathematics, Economics, Data Analytics, Computer Science, or a related field

Tools

Snowflake

BigQuery

Tableau

Job description

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Title: Retail Data Insights Analyst
Location: Orlando, FL
Duration: 6 months
Compensation: $85.00 - 95.00/hr
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Retail Data Insights Analyst

Description:
We are seeking a Senior Analyst to support retail analytics initiatives. This role will focus on delivering high-impact business insights through data exploration, dashboard development, and analytical modeling to support areas such as merchandise planning, promotional performance, inventory health, and operational efficiency. The ideal candidate brings strong business acumen, retail expertise, and technical proficiency in SQL, Data Visualizations (e.g., Tableau), and Python (preferred). This role plays a critical part in transforming data into actionable insights that improve business performance, guest experience, and strategic outcomes across global retail footprint.

This role will report to the Sr. Manager, Data Science.

Deliver Actionable Business Insights: Conduct deep-dive analyses on retail performance including pricing and promotional effectiveness, customer behavior, and product lifecycle to inform merchandising and planning decisions.
Build and Maintain Visual Dashboards: Develop intuitive, automated Tableau dashboards and self-service reporting tools to monitor key performance indicators and support cross-functional teams in decision-making.
Collaborate with Cross-Functional Teams: Partner with merchandising, marketing, finance, and technology stakeholders to translate business needs into data-driven solutions and clearly communicate analytical findings.
Develop Scalable Analytical Solutions: Write robust SQL code to query, clean, and manipulate large datasets from cloud-based sources (e.g., Snowflake, BigQuery) in support of repeatable, scalable analytics workflows.
Support Data Science Initiatives: Collaborate with data scientists on advanced projects by preparing data inputs, conducting exploratory data analysis, and validating model outputs to ensure business relevance.

Basic Qualification:

Education & Experience: Bachelor’s degree in Mathematics, Economics, Data Analytics, Computer Science, or a related field, or 4+ years of relevant experience in a retail analytics or business intelligence role.
Business Acumen (4+ years): Strong understanding of retail KPIs and operations with the ability to translate data into meaningful business recommendations that drive revenue, efficiency, or guest satisfaction.
Retail Analytics (4+ years): Experience supporting the business including merchandising, buying, planning, operations, marking, etc. in retail environments across brick-and-mortar and ecommerce channels. Familiarity with retail inventory systems, POS data, and product lifecycle metrics.
SQL & Data Management (4+ years): Advanced SQL skills to extract, join, and transform large datasets; experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
Dashboarding & Data Visualization (4+ years): Expert-level experience building dashboards and reports in Tableau or similar tools to drive self-service analytics and business storytelling.

Preferred Qualifications:

Advanced degree (MS or PhD) in Mathematics, Economics, Data Science, Computer Science, Operations Research, or related field.
Python for Analytics (3+ years): Proficiency in Python for data analysis (e.g., using pandas, NumPy, matplotlib); ability to support data preparation and light modeling tasks.
Knowledge of A/B testing concepts and basic statistical techniques.

Required Education:
Bachelor's Degree or equivalent

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.

Seniority level