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Merchandise Data Analyst Jobs in San Rafael, CA (NOW HIRING)

Parafin

Data Scientist, Underwriting

San Francisco, CA · On-site

$190 - $230/hr

Using LLMs to help build a risk model and forecast that lets us underwrite merchants on banking ... Approach data analysis with a critical, intellectually honest eye * Design concise metrics that ...

Visa

ATM Analyst

San Francisco, CA · On-site

$104K - $163K/yr

... merchants, financial institutions and government entities across more than 200 countries and ... The ATM Analyst will assist in business development opportunities by using data analytics ...

Aquent

Associate Merchandise Planner

San Francisco, CA · On-site

$40.80 - $45.33/hr

About the Role Are you a strategic, data-driven professional eager to shape the success of a ... Analyze and validate sales and inventory needs for key initiatives, marketing activations, and ...

Zipline

Billing Operations Analyst

South San Francisco, CA · On-site

$100K - $125K/yr

Support and manage the financial onboarding of new merchants and partners into the Zipline ... Strong data analytics capabilities; familiarity with SQL or data visualization tools (Mode, Tableau ...

Pinterest

Sr. Data Scientist, Core

San Francisco, CA · On-site +1

... merchants around the world. What you'll do: * Develop best practices for instrumentation and ... Build and prototype analysis pipelines iteratively to provide insights at scale while developing ...

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All JobsMerchandise Data Analyst JobsMerchandise Data Analyst Jobs in San Rafael, CA

Merchandise Data Analyst information

See San Rafael, CA salary details

$37.9K

$92.1K

$151.6K

How much do merchandise data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for merchandise data analyst in San Rafael, CA is $92,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,700.00 and $108,100.00 per year, depending on experience, location, and employer.

What does a merchandise data analyst do?

A Merchandise Data Analyst is responsible for collecting, analyzing, and interpreting data related to merchandise sales, inventory, and customer behavior. They use this information to identify trends, forecast demand, and make recommendations that optimize product assortments and inventory levels. Their insights help retailers improve sales performance, reduce stockouts and overstocks, and enhance customer satisfaction. Merchandise Data Analysts often work closely with buying, marketing, and supply chain teams to support strategic decision-making.

What are the key skills and qualifications needed to thrive as a merchandise data analyst?

To thrive as a Merchandise Data Analyst, you need strong analytical abilities, a solid understanding of retail operations, and proficiency in data analysis, typically supported by a degree in business, mathematics, or a related field. Expertise in tools such as Excel, SQL, Tableau, and experience with merchandising or inventory management systems is highly valuable. Attention to detail, problem-solving skills, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate insights and recommendations that drive inventory optimization, sales growth, and strategic retail decisions.

How does a merchandise data analyst typically collaborate with merchandising and buying teams to influence product assortment decisions?

As a Merchandise Data Analyst, you will work closely with merchandising and buying teams by providing data-driven insights on sales trends, inventory levels, and customer preferences. Your analyses help inform decisions about which products to stock, discontinue, or promote, ensuring that assortments align with market demand and company goals. Regular meetings and cross-functional projects are common, where you'll present findings and recommendations, making your role highly collaborative and influential in shaping the product mix.

What is the difference between Merchandise Data Analyst vs Inventory Analyst?

AspectMerchandise Data AnalystInventory Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; proficiency in data toolsBachelor's in Supply Chain, Logistics, or related; strong analytical skills
Work EnvironmentRetail or e-commerce companies; data-driven teamsWarehouses, distribution centers, retail stores
Employer & Industry UsageUsed in retail, fashion, and consumer goods industriesCommon in retail, manufacturing, and logistics sectors
Comparison Search IntentAnalyzing sales data, product performance, and trendsManaging stock levels, replenishment, and supply chain efficiency

The Merchandise Data Analyst focuses on analyzing sales and product data to optimize merchandising strategies, while the Inventory Analyst concentrates on managing stock levels and supply chain operations. Both roles require analytical skills and industry knowledge but serve different aspects of retail operations.

What are popular job titles related to Merchandise Data Analyst jobs in San Rafael, CA?

For Merchandise Data Analyst jobs in San Rafael, CA, the most frequently searched job titles are:

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The top searched job categories for Merchandise Data Analyst jobs in San Rafael, CA are:

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Merchandise Data Analyst jobs near you
Infographic showing various Merchandise Data Analyst job openings in San Rafael, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $92,120 per year, or $44.3 per hour.

Reconciliation & Reporting Analyst

LHH US

Oakland, CA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

LHH is actively seeking a seasoned Recon & Reporting Analyst for one of out top FinTech clients! This will be a 100% remote contract opportunity with our client and will be working PST hours.
Job Overview
You will join the Recon and Reporting team, which owns our post-transaction systems: the platform responsible for reconciling money, tracing the end-to-end flow of funds, and meeting our tax and regulatory reporting obligations to merchants, customers, and authorities worldwide. Reconciliation and financial reporting are essential to running a payments business, and given our transaction volume, this role has direct, measurable impact on financial accuracy and trust.
As an Analyst on the team, you will be the person who ensures the numbers tie out. You will reconcile card-network settlement and report files (Visa, Mastercard, and equivalents), along with data from acquirers, processors, and banks, against our internal payment and ledger data. You will investigate and resolve discrepancies down to the last penny, build the automated reporting that finance, accounting, and business stakeholders rely on, and turn what you learn from breaks and exceptions into better metrics, controls, and tooling. Our mantra: all funds in the right place, at the right time, for the right purpose.
What you'll do
  • Execute time-sensitive daily, weekly, and monthly reconciliations between card networks, banking partners, processors, and internal transaction and ledger data to ensure data integrity across all sources.
  • Investigate unreconciled items and discrepancies: perform root-cause analysis across network, bank, and internal data, drive corrective actions, and escalate irregularities promptly.
  • Design, develop, and maintain automated SQL-based reconciliation and reporting solutions (e.g., break dashboards, settlement summaries, exception queues) using team best practices, with guidance and review from senior analysts.
  • Contribute to the design of the team's success metrics (e.g., match rates, break aging, time-to-resolution, reporting SLAs) and communicate KPI results to business partners and leadership.
  • Support month-end close: prepare reconciliation reporting, standardized summaries, and supporting documentation that feed downstream accounting, audit, and regulatory processes.
  • Monitor daily settlement, funding, and banking activity to detect irregularities, and spot upstream data or pipeline issues that impact reconciliation and reporting data sources.
  • Partner day-to-day with Engineering, Product, Accounting, Treasury, and Compliance: file and follow production support tickets, define business requirements for fixes and enhancements, and validate changes before deployment.
  • Maintain clear process documentation and runbooks, identify control gaps and manual toil, and propose automation and process improvements.
  • Handle reconciliation and reporting requests from internal stakeholders and external partners, communicating clearly with both technical and non-technical audiences.
  • Use AI tools to explore ideas, improve speed of delivery, and deepen insights in your analytical work.
Minimum Requirements:
  • 5+ years of related experience in reconciliation, settlement, payment operations, accounting, or finance analytics with a Bachelor's degree (Finance, Accounting, Economics, a quantitative field, or similar); or a Master's degree; or equivalent work experience.
  • Independent proficiency in SQL, including building and maintaining automated SQL-based reporting.
  • Strong Excel skills (complex formulas, pivot tables) and comfort working with large, messy transactional datasets.
  • Detail-oriented "detective" mindset: demonstrated ability to research discrepancies, question the correctness and completeness of data, and follow issues through to resolution.
  • Working knowledge of general accounting principles and the mechanics of money movement.
  • Strong written and verbal communication skills, with the ability to present findings to both analytics peers and non-technical business stakeholders.
  • Self-motivated and proactive; delivers accurate work on tight, recurring deadlines and proactively communicates progress, learnings, and delays.
Preferred Qualifications:
  • Prior experience with card-network reconciliation and settlement (Visa, Mastercard, Amex, Discover), including network settlement, clearing, and report files.
  • Familiarity with funds-transfer processes and rails (ACH, wire, SWIFT, RTP/FedNow) and with the payments ecosystem: merchants, acquirers, issuers, processors, and program banks.
  • Experience with reconciliation tools, banking portals, and BI/reporting platforms (e.g., Looker, Tableau).
  • Exposure to month-end close, interchange and fee/cost reconciliation, revenue-leakage detection, or regulatory and tax reporting.
  • Experience supporting audits, internal controls, or SOX-adjacent processes.
  • Curiosity about payments products and a track record of improving or automating operational processes.
Bachelor's degree (Finance, Accounting, Economics, a quantitative field, or similar); or a Master's degree; or equivalent work experience.
Pay Details: $50.00 to $55.00 per hour
Search managed by: Kaitlynne Hope
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.