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Data Analyst - Job Opportunity at LERETA, LLC

California, US
Full-time
Mid-level
Posted: July 17, 2025
Hybrid
USD 68,437 - 80,000 per year

Benefits

Remote or hybrid work flexibility offering enhanced work-life balance and reduced commuting costs
Equal opportunity employment ensuring fair treatment and inclusive workplace culture
Agile framework integration providing structured professional development and collaborative work environment

Key Responsibilities

Drive strategic enhancement of Enterprise Data Warehouse capabilities to optimize internal stakeholder efficiency and external partner service delivery
Provide critical analytical support for executive decision-making through comprehensive data deep dives and insights generation
Execute comprehensive data quality assurance through anomaly detection, key validation, and data integrity maintenance to ensure organizational data reliability
Deliver strategic analytical support for Financial Planning & Analysis initiatives, directly impacting business forecasting and resource allocation decisions
Lead cross-functional product support initiatives within Data Services to drive innovation and operational excellence
Orchestrate requirements gathering processes for datasets, reports, and scorecards to align technical solutions with business objectives
Champion organizational transformation from traditional grid-style reporting to modern dashboarding solutions, enhancing data accessibility and user experience
Function as integral team member within Agile methodology, contributing to continuous improvement and project delivery excellence

Requirements

Education

Bachelor's in Computer Science or related fields

Experience

3+ years experience in data centric technology groups such as Data Services, Business Intelligence, Advanced Analytics, FP&A or Data Warehousing

Required Skills

Strong understanding of data structures, security, performance, optimization and usability Strong understanding of star schema and Kimball Dimensional Modeling Strong understanding of data modeling Strong understanding of Master Data Management (MDM) concepts Organized and strong documentation skills Proficient in SQL syntax for data profiling and query writing for requirements 3+ years experience working with BI focused reporting tools such as PowerBI, Tableau, Domo, etc. Experience with MS 365 and additional MS Products Microsoft AzDo (Dev Ops) MS 365 / SharePoint Power Automate Power Apps Power Query Understanding of the Microsoft Power Platform
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Sauge AI Market Intelligence

Industry Trends

The tax and flood services industry is experiencing significant digital transformation driven by regulatory changes and climate risk assessment requirements, creating increased demand for data analytics professionals who can navigate complex compliance landscapes while delivering actionable insights. Organizations are investing heavily in enterprise data warehousing solutions to consolidate disparate data sources and improve decision-making capabilities across financial planning, risk assessment, and customer service operations. Business Intelligence and Advanced Analytics adoption is accelerating across financial services and regulatory compliance sectors, with companies prioritizing real-time dashboarding and self-service analytics capabilities to reduce time-to-insight and improve operational efficiency. The shift from traditional grid-style reporting to interactive dashboards represents a fundamental change in how organizations consume and act upon data. Master Data Management and data governance practices are becoming critical differentiators in highly regulated industries, where data quality, lineage, and security directly impact compliance outcomes and operational risk management. Organizations are seeking professionals who can balance technical excellence with regulatory requirements and business stakeholder needs.

Salary Evaluation

The offered salary range of $68,437 - $80,000 is positioned at the lower end of the market range for mid-level Data Analyst positions, particularly considering the comprehensive technical requirements and strategic responsibilities outlined. Market rates for similar roles typically range from $75,000 to $95,000 annually, suggesting this position may offer additional compensation through benefits, equity, or rapid advancement opportunities to remain competitive in the California market.

Role Significance

Typical team structure would include 3-5 data analysts reporting to a Data Analytics Manager, with close collaboration across Business Intelligence, Data Engineering, and IT operations teams. The role likely involves mentoring junior analysts while interfacing with senior stakeholders across finance, product, and executive leadership.
This mid-level position carries significant strategic influence within the organization, evidenced by direct executive committee support responsibilities and cross-functional leadership in data services initiatives. The role demonstrates substantial autonomy in driving enterprise-wide data transformation while maintaining technical depth in data modeling and warehouse architecture.

Key Projects

Enterprise Data Warehouse optimization and expansion projects focused on improving data accessibility and analytical capabilities across multiple business units Implementation of modern dashboarding solutions to replace legacy reporting systems, requiring user experience design and change management expertise Development of comprehensive data quality frameworks and monitoring systems to ensure regulatory compliance and operational reliability Cross-functional analytics initiatives supporting product development, customer insights, and strategic planning processes

Success Factors

Demonstrate exceptional technical proficiency in SQL, dimensional modeling, and Microsoft Power Platform tools while maintaining focus on business impact and stakeholder value delivery Develop strong collaborative relationships across technical and business teams, serving as a trusted advisor for data-driven decision making and analytical insights Master the balance between technical excellence and business communication, translating complex data concepts into actionable recommendations for executive and operational stakeholders Maintain current knowledge of data governance best practices and regulatory requirements specific to tax and flood services industries Exhibit leadership qualities in driving organizational change from traditional reporting methods to modern analytics approaches

Market Demand

High demand exists for data analysts with enterprise data warehousing experience and strong BI tool proficiency, particularly those skilled in Microsoft Power Platform ecosystem and dimensional modeling techniques. The combination of technical depth and business acumen required for this role positions it as a sought-after skill set in the current market environment.

Important Skills

Critical Skills

SQL proficiency and dimensional modeling expertise are fundamental to success in this role, as they enable effective data warehouse navigation, query optimization, and analytical insight generation. These skills directly impact the ability to support executive decision-making and drive enterprise data initiatives. Microsoft Power Platform proficiency, particularly Power BI, Power Apps, and Power Query, is essential for driving the organization's transformation from traditional reporting to modern analytics solutions. These tools represent the primary interface for business stakeholder data consumption and self-service analytics capabilities. Master Data Management understanding is crucial for maintaining data quality, governance, and regulatory compliance in a highly regulated industry environment. This knowledge ensures analytical outputs meet audit requirements and support risk management objectives.

Beneficial Skills

Azure DevOps experience would enhance collaboration with technical teams and improve project delivery efficiency through integrated development and deployment processes Advanced statistical analysis and predictive modeling capabilities would expand the role's strategic value and support more sophisticated analytical initiatives Industry-specific knowledge of tax and flood services regulations would accelerate onboarding and improve the relevance of analytical insights and recommendations Data visualization and user experience design skills would enhance dashboard development and stakeholder adoption of new analytical tools and processes

Unique Aspects

Direct analytical support for executive committee decision-making provides exceptional visibility into strategic business operations and high-level impact opportunities
Comprehensive involvement in enterprise data transformation initiatives offers extensive learning opportunities across multiple technical domains and business functions
Focus on regulatory compliance within tax and flood services provides specialized industry knowledge that is highly transferable and increasingly valuable
Integration of Agile methodology with data analytics work creates structured professional development and collaborative project delivery experience

Career Growth

Career progression typically occurs within 18-24 months for high-performing individuals, with advancement opportunities accelerated by the organization's focus on data transformation and analytics maturity development.

Potential Next Roles

Senior Data Analyst with expanded responsibilities for advanced analytics and predictive modeling initiatives Business Intelligence Manager overseeing analytics team operations and strategic data initiatives Data Architect focusing on enterprise data strategy and technical infrastructure design Product Manager specializing in analytics products and data-driven solutions

Company Overview

LERETA, LLC

LERETA, LLC operates as a specialized provider of tax and flood services, positioning itself within the financial services compliance and risk management sector. The company maintains a technology-forward approach to service delivery, evidenced by significant investments in enterprise data warehousing and business intelligence capabilities.

LERETA occupies a niche position within the tax and flood services market, serving both internal operations and external partners through data-driven solutions. The company's emphasis on innovation and analytical capabilities suggests a competitive differentiation strategy focused on technology-enabled service excellence.
With operations in California and remote/hybrid work options, LERETA demonstrates adaptability to modern workforce expectations while maintaining proximity to key technology talent markets. The company's approach suggests a balance between local market knowledge and distributed team capabilities.
The organization emphasizes collaborative, Agile-driven work environments with strong focus on cross-functional teamwork and continuous improvement. The integration of data analytics into executive decision-making processes indicates a data-driven culture that values analytical insights and evidence-based strategy development.
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