Top 48901 Data Jobs | SimplyHired

Data Analyst
Security Public Storage —San Francisco, CA
- $115,000 - $125,000 a year
- Full-time
- Background check
- Azure
- Mid-level
- Health savings account
- Health insurance
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- Residential
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- Google Workspace
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Wasatch Photonics —Morrisville, NC
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GC America Inc. —Alsip, IL
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- Background check
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Project Manager - Data Center Construction
Gable's Excavating —Stillwater, OK
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Gable's Excavating —Tulsa, OK
- $112,000 - $145,000 a year
- Full-time
- Background check
- Clean driving record
- Driver's License
- Health insurance
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Machine Learning Scientist - AI Trainer
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- $40 - $60 an hour
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Family Health Matters —Anaheim, CA
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- Background check
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- $40 - $45 an hour
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- Microsoft Word
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Data Analyst

Security Public Storage -
San Francisco, CA

Quick Apply

Job Details

Full-time
$115,000 - $125,000 a year

Benefits

Health savings account
Health insurance
Paid time off
401(k) 4% Match
401(k) matching
Life insurance

Qualifications

Data integrity assurance
Data model design
Dashboard development
Commercial use (data warehousing systems)
Power BI
Teamwork
Data visualization software proficiency
Data Integration (Data management)
Azure
Data analysis reporting
Data permissions
Data validation techniques
Technical documentation
Business intelligence report generation
Schema design
Data integrity and documentation
Business intelligence tools
Data integrity process (data warehousing)
Data performance optimization
Query management
Research findings presentation
Python
Marketing controlled experiments research
Dimensional modeling
T-SQL

Full Job Description

Data Analyst

Security Public Storage | Full-Time | Hybrid

About the Role

Security Public Storage (SPS) is looking for a Data Analyst to join a small, high-impact team focused on revenue management, pricing strategy, and operational intelligence across our 53-facility portfolio. This role sits at the intersection of data engineering and business analysis — you'll help build and maintain the data infrastructure we rely on, then use it to answer the questions that drive how we price, promote, and operate.

This role has two distinct phases. In the first several months, the focus will be on foundational build work: validating and refining our data warehouse, developing core dashboards, and formalizing the analytical frameworks we use to measure pricing and promotional effectiveness. Over time, the role evolves toward ongoing analysis, forecasting, and continuous optimization — so we're looking for someone who is equally comfortable writing SQL at 9am and presenting insights to an ops team at 2pm.

Key Responsibilities

Pricing & Revenue Analysis

Analyze property-level performance including occupancy, move-ins/move-outs, pricing trends, and revenue yield
Support pricing strategies across the portfolio to optimize the balance between revenue and occupancy
Evaluate discounting strategies and promotional programs — including move-in specials, concessions, and rate adjustments — and provide recommendations on when and where to deploy or reduce them
Develop frameworks to measure promotional effectiveness (e.g., occupancy lift vs. revenue trade-offs, duration of stay, conversion rates)
Monitor competitive pricing and market trends within the self-storage industry
Assist in forecasting revenue and occupancy performance

Revenue Management Models

Work with and maintain existing revenue management models
Identify opportunities to refine and enhance model logic based on observed outcomes and changing market conditions

Data Infrastructure & Reporting

Partner with internal stakeholders on the design, validation, and ongoing maintenance of the company's Microsoft Fabric data warehouse
Develop dashboards and reports in Power BI to provide visibility into KPIs and trends across the portfolio
Ensure data accuracy and integrity across reporting systems
Conduct ad hoc analysis on pricing, promotions, and customer behavior

Cross-Functional Collaboration

Partner with operations and finance teams to translate data insights into actionable strategies
Communicate findings clearly to non-technical stakeholders through polished reports and presentations

Required Skills & Experience

Data & Analytics

Advanced SQL — complex queries using CTEs, window functions, and joins; T-SQL preferred
Strong data modeling fundamentals — star schema, dimensional modeling, relationships and cardinality
ETL/ELT pipeline logic and data quality practices
Experience with revenue analysis, pricing models, or operational KPIs
Python for data processing and notebook-based analysis

Microsoft Fabric & Power BI

Familiarity with Microsoft Fabric — including Lakehouses, Warehouses, data pipelines, and the OneLake architecture
Power BI — DAX for measures and calculated columns, data modeling, report design, and Row-Level Security (RLS)
Power Query / M for data transformation
Understanding of DirectLake mode and performance optimization in Power BI

Analytical & Communication

Ability to translate business questions into data problems and structure analysis independently
Strong data storytelling — able to present findings clearly to non-technical audiences
Experience designing or validating measurement frameworks (A/B tests, lift analysis, conversion analysis)
Attention to data integrity and documentation habits (naming conventions, lineage tracking)

Nice to Have

Experience with medallion architecture (Bronze → Silver → Gold) or lakehouse design patterns
Azure fundamentals — Fabric runs on Azure and basic familiarity is helpful
Git / version control for managing analytical assets
Background in real estate, self-storage, or other asset-intensive industries
Experience with revenue management systems or dynamic pricing tools

About Security Public Storage

Security Public Storage (SPS) is a family-owned self-storage company operating 53 facilities across multiple states. We're a lean, data-driven organization investing in the infrastructure and talent to make smarter decisions at scale. This role is an opportunity to have real impact — you'll be one of a small number of people building the analytical foundation of how we run the business.

Pay: $115,000.00 - $125,000.00 per year

Benefits:

401(k) 4% Match
Health insurance
Health savings account
Life insurance
Paid time off

Ability to Commute:

San Francisco, CA 94107 (Required)

Work Location: In person

Quick Apply

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