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Seasonal Python Analyst Jobs (NOW HIRING)

United IT

Data Science-Analyst

San Diego, CA

Experience with Python or R for advanced analytics, modeling, and automation is a plus ... Improve Operational Efficiency & Seasonal Readiness * Analyze channel efficiency metrics - such as ...

Jane Street

Senior Weather Analyst/ML Researcher

New York, NY · On-site

$126.90K - $127.50K/yr

Must be a strong programmer, with excellent python skills for data analysis * Expertise in relevant topics such as: sub-seasonal predictability, data assimilation and numerical weather prediction ...

EquipmentShare

Financial Data Analyst

Chicago, IL

Seasonal and year round wellness challenges. * Company sponsored events (annual family gatherings ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred EquipmentShare is ...

Pluxee

Data analyst

Praha, TX

... R or Python Business performance analysis with relevant KPI definition and computation Study ... Seasonal adjustment on time series Regression models (OLS / Logistic) Control Groups definition ...

EquipmentShare

Financial Data Analyst

Chicago, IL · On-site

Seasonal and year round wellness challenges. * Company sponsored events (annual family gatherings ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred EquipmentShare is ...

Victoria's Secret

Supply Chain Analyst

Reynoldsburg, OH · On-site

$67.70K - $88.83K/yr

... fast paced seasonal or heavily promoted businesses (retail or consumer goods) is preferred ... Proficiency with SQL, Python, MicroStrategy Dossiers preferred * Excellent relationship management ...

OmniForce

Retail Power Portfolio Analyst

Houston, TX · Hybrid

Analyze weather, demand, supply, and regulatory or policy conditions to support seasonal hedging ... Proven proficiency using Excel, Power BI, Python, and/ or SQL. Excellent analytical and ...

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How much do seasonal python analyst jobs pay per year?

As of Jun 1, 2026, the average yearly pay for seasonal python analyst in the United States is $85,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.
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Seasonal Python Analyst jobs near you

Data Science-Analyst

United IT Solutions

San Diego, CA

Other

Posted 11 days ago

Job description

Role : Data Science-Analyst
Location : San Diego CA / MTV CA (5 Days working)
Qualifications
  • 8+ years of experience in data science, analytics, or a related field.
  • Proven ability to extract insights from data and communicate compelling data-driven stories that drive business impact.
  • Excellent SQL skills for data extraction, manipulation, and pipeline development.
  • Expertise in data visualization tools (e.g., Tableau, Qlik).
  • Experience with Python or R for advanced analytics, modeling, and automation is a plus.
  • Familiarity with big data tools (e.g., Snowflake, Spark, Databricks) is a plus.
  • Machine learning and Generative AI experience is a plus.
  • Ability to manage multiple projects simultaneously in a fast-paced environment.
  • Strong problem-solving and end-to-end quantitative thinking skills.
  • Passion for mentorship and developing talent within the team.

Responsibilities
  1. Drive Business Impact through Localized Analytics
    1. Identify and develop key performance metrics to measure the effectiveness of Canadian assisted offerings, including Full Service, Business Tax, Assist & Review, Audit Coach, and Audit Defense.
    2. Partner with cross-functional leaders across operations, product, and engineering to deliver insights that improve customer experience, reduce friction in human assisted flows, and support service consistency across English and French-speaking customers.
    3. Automate and maintain localized reporting to support real-time, data-informed decision-making year-round and through the tax season.
  2. Elevate Data Infrastructure & Modeling for Canada
    1. Extend and adapt core dashboards and models to meet Canadian requirements, incorporating localized taxonomy, metric definitions, and region-specific workflows.
    2. Lead development of segmentation frameworks (e.g., digital vs. expert support) to guide proactive help strategies and improve resolution outcomes.
    3. Optimize data pipelines and ensure robust, scalable infrastructure to support business intelligence across the Canadian expert support ecosystem.
  3. Improve Operational Efficiency & Seasonal Readiness
    1. Analyze channel efficiency metrics - such as customer serving time and digital help and escalation trends - across chat, async, and voice to inform staffing, routing, and tooling decisions.
    2. Support operational planning and execution throughout the season, including launch readiness, backlog management, and change management aligned with Canadian compliance and service expectations.
    3. Drive clarity and understanding of KPI performance, including establishing data-driven metric targets, performing root cause analysis, and developing automated processes for key stakeholders.
  4. Influence Strategy Through Insightful Storytelling
    1. Deliver clear, compelling narratives that translate complex analytical findings into actionable recommendations for both technical and non-technical audiences.
    2. Aggregate VOC (voice of customer) signals - spanning surveys, chat, and call data - to proactively shape various customer journeys and surface opportunities for experience improvement.
    3. Collaborate closely with senior leaders and cross-functional stakeholders to ensure alignment on strategy, service quality, and customer success in the Canadian market.

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