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Election Data Analyst Jobs (NOW HIRING)

Senior Data Analyst

Plano, TX · On-site

$110K - $185K/yr

Gather and analyze data pertaining to various business processes such as forecasts, capital ... elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care ...

Senior Data Analyst

Plano, TX · On-site

$110K - $185K/yr

Gather and analyze data pertaining to various business processes such as forecasts, capital ... elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care ...

Junior Data Analyst

Ashburn, VA · On-site

$83K - $139K/yr

MANTECH seeks a motivated, career- and customer-oriented Jr Data Analyst to join our innovative ... benefit elections. MANTECH considers all qualified applicants for employment without regard to ...

Master Data Analyst

Burlington, MA · On-site

$62K - $80K/yr

The Master Data Analyst coordinates and performs day to day tasks for the creation, maintenance ... election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid ...

... data that will be hosted on the TPA's App for the 2024 General Election cycle. Minimum ... Degree in data analytics or a comparable field. * Acute knowledge of ArcGIS or other mapping ...

... data that will be hosted on the TPA's App for the 2024 General Election cycle. Minimum ... Degree in data analytics or a comparable field. * Acute knowledge of ArcGIS or other mapping ...

Senior Growth Data Analyst

Herndon, VA · Hybrid

$98K - $163K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... benefit elections. MANTECH considers all qualified applicants for employment without regard to ...

... data that will be hosted on the TPA's App for the 2024 General Election cycle. Minimum ... Degree in data analytics or a comparable field. * Acute knowledge of ArcGIS or other mapping ...

The Data Science Analyst assists in the preparation, design and execution of models and data ... employee's benefits elections. Offers will typically be in the bottom half of the range. We ...

The Data Science Analyst assists in the preparation, design and execution of models and data ... employee's benefits elections. Offers will typically be in the bottom half of the range. We ...

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Election Data Analyst information

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$34K

$82.6K

$136K

How much do election data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for election data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an election data analyst?

An Election Data Analyst is a professional who collects, processes, and interprets data related to elections. They analyze voting patterns, turnout, demographic trends, and results to provide insights for political campaigns, government agencies, or research organizations. Their work helps stakeholders understand voter behavior, predict election outcomes, and ensure the integrity of the electoral process. Election Data Analysts often use statistical software and data visualization tools to present their findings in a clear and actionable way.

What are the key skills and qualifications needed to thrive as an election data analyst, and why are they important?

To thrive as an Election Data Analyst, you need strong quantitative analysis skills, a background in statistics or political science, and experience with data collection and interpretation. Proficiency in data analysis tools such as Excel, SQL, Python, R, and GIS software, along with knowledge of data visualization platforms like Tableau, is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for translating complex data into actionable insights for stakeholders. These skills ensure accurate, insightful analysis that supports transparent and informed decision-making throughout the electoral process.

What are some common challenges election data analysts face when working with large-scale voting datasets?

Election Data Analysts often encounter challenges such as cleaning and standardizing large, disparate datasets from multiple sources, ensuring data accuracy, and dealing with incomplete or inconsistent information. Additionally, they must be vigilant about data security and privacy, especially when handling sensitive voter information. Collaborating with IT teams, policy experts, and election officials is crucial to developing reliable analytical models and delivering actionable insights in a fast-paced, high-stakes environment.

What is the difference between Election Data Analyst vs Polling Data Analyst?

AspectElection Data AnalystPolling Data Analyst
Required CredentialsBachelor's in Political Science, Statistics, or related field; experience with data analysis toolsBachelor's in Statistics, Data Science, or related; proficiency in survey analysis
Work EnvironmentGovernment agencies, election commissions, political organizationsPolling firms, research organizations, political campaigns
Industry UsageElection planning, vote tallying, electoral analysisPublic opinion surveys, market research, campaign strategy

Election Data Analysts focus on analyzing voting patterns and election results, often working during election seasons within government or political organizations. Polling Data Analysts primarily interpret survey data to gauge public opinion, working in research firms or campaign teams. While both roles require strong data analysis skills and similar educational backgrounds, their focus areas and work environments differ significantly.

More about Election Data Analyst jobs

What cities are hiring for Election Data Analyst jobs?

Cities with the most Election Data Analyst job openings:

What states have the most Election Data Analyst jobs?

States with the most job openings for Election Data Analyst jobs include:

Infographic showing various Election Data Analyst job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Analyst

PepsiCo

Plano, TX • On-site

$110K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 903 frontline employees who took The Breakroom Quiz

153rd of 443 rated food and drinks producers


Job description

Overview
PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo's global business scale to enable business insights, advanced analytics and new product development. PepsiCo's Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.
What PepsiCo Data Management and Operations does:
  • Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company
  • Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset
  • Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders
  • Increase awareness about available data and democratize access to it across the company

Responsibilities
As a member of the data engineering team, you will be the key domain expert overseeing PepsiCo's business process and drive a strong discussion for how Supply Chain, Financial, Consumer, Channel, Category business needs to be defined and prioritize by working very closely with senior leaders, business leads, data science team and data engineering team. You'll develop an in-depth understanding of business processes in and translate business requirements to data engineering team in technical way. Support the leadership team's strategic agenda, planning, and operating rhythm, and organizational communications, including newsletters, presentation, and executive storytelling, within a global digital product ecosystem.
Accountabilities
  • Discover, analyze, and scope data requirements & representing them in conceptual and logical data models
  • Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models. geographics, POS, pricing and promotion, store profile, e-commerce data to develop channel models.
  • Create high-level process models (system interface diagrams, workflow & swim lane diagrams, data flow diagrams) to represent processes for the area under analysis
  • Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
  • Responsible to improve the quality of data in relation to defined expectations
  • Perform analysis of system data to identify patterns, exceptions, and erroneous data
  • Partner with senior leadership to support the strategic agenda, planning cadence, roadmap, and prioritization of the data & analytics portfolio, coordinating cross-functional initiatives and tracking progress against key decisions
  • Support executive and organizational presence across approved internal and external channels, including LinkedIn and internal collaboration platforms, through thoughtful content planning and drafting.
  • Promote major wins, platform launches, product milestones, and success stories to improve visibility, adoption, and stakeholder confidence.

Compensation and Benefits:
  • The expected compensation range for this position is between $110,700 - $185,250.
  • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
  • Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
  • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications
  • 8+ years of experience with data analysis & data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry.
  • 6+ years' work experience in the areas of Distribution Network Analysis, Manufacturing, Production Network Optimization, Transportation, Demand Planning, or other areas related to Supply Chain or other domains such as Financial, Consumer, Channel, Category etc.
  • 4+ years of strong Data Profiling experience & ability to identify trends and anomalies in the data to in-form data model build out.
  • Experience in working with Datasets from POS Aggregators such as IRI, Nielsen, Kantar etc.
  • Experience working with structured/unstructured datasets, ability to clearly document and communicate requirement to technical team members.
  • Strong grasp of emerging technologies in data and analytics (e.g., GenAI, LLMs, Databricks, cloud platforms - Azure/AWS/GCP, and modern data stack tools), and ability to assess their relevance to business initiatives.
  • Exceptional presentation and storytelling skills - able to synthesize complex analytical insights into clear, compelling narratives.
  • Ability to connect the dots across technical, business, and strategic layers, acting as a bridge between data engineering, business leadership, and cross-functional stakeholders.
  • Experience supporting senior executives, leadership teams, or large cross-functional organizations through strategic planning, business operations, program management, consulting, or equivalent roles.
  • Strong program and project management capability, including planning, dependency management, risk tracking, decision management, and follow-through across large initiatives.
  • Demonstrated executive presence, discretion, sound judgment, and ability to operate effectively with senior leaders and highly sensitive information.
  • Experience creating internal communications, newsletters, leadership updates, social content, or engagement campaigns; familiarity with tools such as Viva Engage, newsletter platforms, or content analytics is a plus.

Education
  • Bachelor's Degree in Supply Chain and/or Operations Management or Business Administration is Required, Masters Preferred.

Competencies
  • Strong knowledge and understanding of Supply Chain data elements and processes per the necessary in-scope data domain (i.e., Customer, Material, Vendor)
  • Ability to translate business requirements into critical data dependencies and requirements
  • Able to challenge and align various stakeholders to a common set of standards
  • Self-starter with excellent written & verbal communication skills.
  • Self-learner and eager to understand data, business processes, concepts, and technologies.
  • Skilled in stakeholder engagement and cross-functional collaboration, driving alignment across business units, technical teams, and leadership.
  • Strategic thinker with experience supporting leadership decision-making, prioritizing initiatives, and aligning analytics outputs to key business KPIs and outcomes.
  • Proficient in using LLMs and GenAI tools (e.g., Claude, ChatGPT, Copilot) to accelerate personal and team productivity - drafting, summarizing, analysis, and automating repetitive tasks

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Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.
Please view our Pay Transparency Statement.

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965