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Entry Level Data Modeling Jobs in California (NOW HIRING)

Coordinate Project Data / Records / Reports related to the work assignments * Participate in all QA ... business model and a global network of customer-focused operations and highly engaged subject ...

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Entry Level Data Modeling information

What is the difference between Entry Level Data Modeling vs Data Analyst?

AspectEntry Level Data ModelingData Analyst
Required CredentialsBachelor's in CS, IS, or related; basic understanding of databasesBachelor's in Statistics, Math, or related; proficiency in data tools
Work EnvironmentDesigning data structures, collaborating with DBAs and developersAnalyzing data sets, creating reports, working with business teams
Industry UsageUsed in database design, data warehousing, and system developmentApplied in business intelligence, reporting, and data-driven decision making

Entry Level Data Modeling focuses on designing and structuring data systems, while Data Analysts interpret data to provide insights. Both roles require foundational data knowledge but differ in their primary tasks and focus areas within the data ecosystem.

What are the key skills and qualifications needed to thrive as an Entry Level Data Modeler, and why are they important?

To thrive as an Entry Level Data Modeler, you need a solid understanding of database concepts, data structures, and basic SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ER/Studio, Microsoft Visio, or IBM InfoSphere Data Architect, and knowledge of relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication help you clarify requirements and present technical information to stakeholders. These skills and qualities ensure that data models are accurate, scalable, and aligned with business needs, supporting successful data-driven projects.

Is 40 too late for data science?

Entry level data modeling roles are accessible at any age, including at 40, especially if you develop relevant skills such as SQL, data visualization, and understanding of data structures. Many professionals transition into data science or modeling careers later in life by gaining certifications or completing relevant training programs.

What is entry level data modeling?

Entry level data modeling involves creating and organizing data structures, such as diagrams and databases, to represent and manage information within an organization. Professionals in this role typically use tools to define how data is stored, accessed, and related, ensuring it supports business needs. Entry-level data modelers work closely with senior analysts and IT teams to learn best practices and standards. This position is ideal for those with foundational knowledge in databases, analytical thinking, and an interest in data-driven decision making.

How to start with data modelling?

Entry level data modeling involves understanding database concepts, learning data normalization, and practicing with tools like ER diagrams and SQL. Gaining familiarity with data management principles and obtaining certifications such as Microsoft Certified: Data Analyst Associate can also help build foundational skills.

Will AI replace data modelers?

AI is unlikely to fully replace data modelers, as their role involves designing and understanding complex data structures that require domain knowledge and critical thinking. AI tools can assist with automating routine tasks and data analysis, but human expertise remains essential for creating effective data models and ensuring data quality. Entry-level data modelers should focus on developing skills in data architecture, modeling tools, and understanding business requirements to stay valuable in the evolving field.

Can I get into data analytics with no experience?

Entry level data modeling roles often require some understanding of data structures, databases, and basic analytics tools like Excel or SQL. While prior experience is not always mandatory, gaining relevant skills through online courses, certifications, or hands-on practice can improve your chances of entering data analytics or data modeling positions.

How does an entry-level data modeler typically collaborate with other teams during a project?

As an entry-level data modeler, you will often work closely with business analysts, software engineers, and database administrators to translate business requirements into effective data structures. Collaboration often involves participating in meetings to gather requirements, reviewing data needs, and ensuring your models align with both business goals and technical constraints. You may also assist in refining models based on feedback and help maintain clear documentation for future reference. This teamwork not only improves your technical skills but also helps you understand the broader context of data-driven decision-making within the organization.
What are the most commonly searched types of Data Modeling jobs in California? The most popular types of Data Modeling jobs in California are:
Deals Services - Supervisor, Strategic Finance and FP&A, Advanced Decision Modeling

Deals Services - Supervisor, Strategic Finance and FP&A, Advanced Decision Modeling

RSM

Los Angeles, CA โ€ข Hybrid

Full-time

Re-posted 6 days ago


Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.

USA, CANADA:

Job Responsibilities

  • Executes and reviews complex financial analyses and models in support of strategic finance, FP&A, and transaction-related engagements.
  • Develops and reviews operating, cash flow, valuation, and transaction models to support client planning, investment, and deal decisions.
  • Analyzes current and historical financial data to assess performance, growth opportunities, and potential risks.
  • Supports mergers and acquisitions, integrations, divestitures, and capital structure initiatives through financial analysis and due diligence.
  • Interprets financial, market, and industry data to support insights and recommendations aligned to client objectives.
  • Prepares and reviews client-ready analyses, schedules, and presentation materials for management and executive audiences.
  • Coordinates engagement workstreams, supports team execution, and provides guidance to junior team members.
  • Utilizes analytical tools and technology to deliver efficient, accurate, and high-quality financial insights.
  • Supports consistent, high-quality client service delivery by monitoring progress and addressing issues as they arise.


Minimum Qualifications

  • Bachelor's degree in Business, Accounting, Finance, Economics, Engineering, or a related field.
  • 4-7 years of experience.
  • Advanced experience developing and working with integrated financial models, including income statement, balance sheet, and cash flow components.
  • Strong foundational valuation skills, including application of income and market approaches.
  • Experience supporting client-facing engagements or internal stakeholders in a consulting, advisory, banking, or corporate environment.


Preferred Qualifications

  • Experience in strategic finance, FP&A, valuation, investment banking, private equity, venture capital, or corporate development environments.
  • Experience modeling equity, debt, and hybrid instruments in support of transactions or strategic finance initiatives.
  • Experience developing consolidated or business-unit-level forecasts using bottom-up and top-down approaches.
  • Experience preparing and reviewing executive-level or management-ready presentation materials summarizing financial findings and insights.
  • Experience providing day-to-day guidance or review oversight for junior team members.
  • CPA, CFA, or progress toward a relevant professional certification.


Additional Role Expectations

  • Travel: Up to 25%, based on client and engagement needs.
  • Peak Periods: Periodic increases in workload during active transactions or client delivery phases.
  • Scheduling: Flexibility to meet client deadlines and engagement demands.

At RSM, we offer a competitive benefits and compensation package for all our people.We offer flexibility in your schedule, empowering you to balance life's demands, while also maintaining your ability to serve clients.Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership.RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $101,000 - $203,000

Individualsselected for this role will be eligible for a discretionary bonus based on firm and individual performance.