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Senior Target Data Analyst Jobs in California (NOW HIRING)

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Senior Data Analyst Department: Data, Insights and Loyalty Employment Type: Full Time Location: Los Angeles HQ Compensation: $130,000 - $150,000 / year Description SKIMS is a solutions-oriented brand ...

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Senior Data Analyst Department: Technology Reports To: Director of Emerging Technologies Location: Remote (Los Angeles-Orange County preferred; California as a whole or WA ok) FLSA Status: Exempt ...

As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded ... Please note that this is a target, starting cash range for a candidate who meets the minimum ...

Senior Data Analyst

San Francisco, CA · On-site

$169 - $232/hr

Senior Data Analyst, Customer Interfaces We are seeking a high‑impact, product‑minded Senior Data Analyst to join our Customer Interfaces Data team. In this role, you will be the analytical ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data into the insights that drive smarter decisions across satellite design, manufacturing, and mission ...

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

We are looking for a Senior Data Analyst based in Los Angeles to join our Data & Analytics team. In this role, you will partner closely with a key business function (areas could include Performance ...

Sr. Data Analyst

San Jose, CA · On-site

$150 - $190/hr

The Sr. Data Analyst must possess both business and technical aptitude, demonstrating the ability to analyze operations, provide insights, and support decision-making. Essential Duties and ...

Sr. Data Analyst

San Jose, CA · On-site

$150K - $190K/yr

The Sr. Data Analyst must possess both business and technical aptitude, demonstrating the ability to analyze operations, provide insights, and support decision-making. Essential Duties and ...

As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded ... Please note that this is a target, starting cash range for a candidate who meets the minimum ...

Sr Data Analyst

Pleasanton, CA

$95K - $120K/yr

Company Description First IT Solutions Technical/Functional Skills : Sr. Data Solutions Consultant ... Build and implements Data Analytic solutions that serve as key decision support systems for the ...

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

Info Way Solutions is seeking a Senior Data Analyst to join their team. The role involves analyzing data related to I.O.T and Sensor Fusion, utilizing various analytic tools and data visualization ...

Sr Data Analyst

Pleasanton, CA · On-site

$95K - $120K/yr

Company Description First IT Solutions Technical/Functional Skills : Sr. Data Solutions Consultant ... Build and implements Data Analytic solutions that serve as key decision support systems for the ...

As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded ... Please note that this is a target, starting cash range for a candidate who meets the minimum ...

Showing results 21-40

Senior Target Data Analyst information

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Senior Data Analyst

SKIMS

Los Angeles, CA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Skims rating

7.5

Company rating: 7.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Senior Data Analyst
Department: Data, Insights and Loyalty
Employment Type: Full Time
Location: Los Angeles HQ
Compensation: $130,000 - $150,000 / year
Description
SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear, shapewear, and essentials. We are setting new standards by delivering technically innovative, comfort-driven products with elevated design for everybody.
At the intersection of culture, innovation, and commerce, SKIMS is a global brand redefining modern apparel. Our teams are built on creativity, collaboration, and operational excellence, and we are committed to fostering an inclusive, high-performance environment where ambitious, curious, and values-driven individuals can do the best work of their careers.
As we continue to scale globally, our HQ teams play a critical role in shaping strategy, building world-class infrastructure, and driving sustainable growth across markets.
We are looking for a Senior Data Analyst based in Los Angeles to join our Data & Analytics team. In this role, you will partner closely with a key business function (areas could include Performance Marketing, Product Planning, Merchandising, Operations, or Production) with the final placement informed by your background and where your expertise will have the greatest impact. You will work as part of a collaborative data team while serving as the analytical point of contact for your stakeholders, translating complex data into clear, actionable insights that drive real decisions.
Key Responsibilities
  • Partner with a dedicated business function as the primary analytics contact, owning analytical deliverables and translating business questions into clear, data-driven recommendations.
  • Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities.
  • Apply statistical and predictive modeling techniques to uncover patterns, forecast outcomes, and support decisions around areas such as customer lifetime value, demand planning, and resource allocation.
  • Identify opportunities for optimization, customer segmentation, and targeting across the supported business function by providing stakeholders with actionable insight into customer preferences, behaviors, and trends.
  • Design and execute experiments, including A/B tests, to measure the impact of business initiatives and communicate results and recommendations clearly to stakeholders.
  • Evaluate and validate analytical models using appropriate statistical performance metrics to ensure accuracy and reliability. Develop analytics roadmaps in partnership with business stakeholders, aligning data initiatives to functional goals and translating trend analysis into actionable forecasts.
  • Partner with data engineering and technology teams to define data requirements, ensure data quality, and build robust pipelines that support reliable, scalable analytics across the organization.
  • Create executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI that empower self-service, data-driven decision making.
  • Build strong relationships with business stakeholders, proactively identifying analytical needs, communicating findings in clear and compelling ways, and influencing decisions at the leadership level.
  • Serve as a resource and informal mentor to junior team members, sharing expertise in analytical methods, data best practices, and stakeholder communication to continuously elevate the team's capabilities.

Skills, Knowledge and Expertise
  • Strong analytical instincts with the technical skills to back them up. You can access, transform, and model data independently and know how to turn ambiguous questions into structured analysis.
  • A natural communicator and business partner. You don't just produce analysis, you influence decisions. You're comfortable presenting to leadership and translating technical findings into clear business narratives.
  • Curious and self-directed. You thrive in a fast-moving environment, can operate with ambiguity, and take ownership from question to recommendation without needing heavy direction.
  • A team builder at heart. You take pride in sharing knowledge, raising the bar for those around you, and contributing to a data culture where good decisions are the norm.

Requirements:
  • Bachelor's degree in Statistics, Data Science, or a related field and 5+ years of experience in a senior analytics role. Prior experience in the ecommerce or retail industry (e.g., DTC apparel, fashion, or consumer goods) is a plus.

Experience must include:
  • Accessing, transforming, and modeling large datasets using SQL and Python to surface patterns, trends, and actionable insights, including experience applying predictive and statistical models to business problems.
  • Querying and manipulating large datasets using BI and analytics tools (e.g., Snowflake, SQL, Python, Looker), with strong command of data wrangling, transformation, and exploratory analysis. Designing and measuring experiments, including A/B tests, to evaluate business initiatives.
  • Creating executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI.
  • Leading end-to-end analytics projects with minimal oversight, defining measurement frameworks and translating ambiguous business questions into structured analytical plans.

Benefits, Culture and Perks
Benefits and Culture
  • Up to 100% Company Paid Healthcare (medical, dental, vision)
  • Kind Body Fertility Benefits
  • 401(k) savings plan with up to 4% match
  • Unlimited PTO
  • Full Access to LinkedIn learning
  • Employee Discounts

Perks (HQ Location)
  • Free weekly catered lunch at HQ - M/T/W/Th
  • Dog-Friendly office on a Thursday and Friday
  • Free Swag Giveaways
  • Annual Holiday Party
  • Annual Summer Party
  • Invitations to pop-ups and other company events
  • Complimentary daily office snacks and beverages

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