Senior

Senior Data Jobs

161 jobs found

Today

Sr. Financial Data Analyst

Grimmway Produce Group Shafter, CA

Shafter, CA

Today

$80k - $95k/yr Full time Senior Analyst Analytics

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Job Description

Grimmway Produce Group seeks a Sr. Financial Data Analyst in Shafter, CA (onsite) to transform financial and operational data into actionable insights.

Responsibilities

Translate complex financial and operational datasets into accurate, actionable insights.
Establish a single primary source of truth for enterprise financial data across multiple systems.
Focus on financial analysis, reporting, and data validation as core activities.
Collaborate closely with Accounting/Finance, IT, and Farming and Production Operations while maintaining a distinctly analytical focus.

Requirements

Undergraduate or graduate degree in Finance, Data Analytics, Information Systems, or a related field.
4+ years of experience in financial analysis, reporting, or business intelligence.
Solid understanding of data warehouses, data structures, financial data flows and AI tools, with strong SQL skills for data extraction, analysis, and validation.
Strong experience with Power BI or Tableau and financial reporting dashboards.
Excellent Microsoft Excel, PowerPoint, and Word skills.
Proven ability to validate, reconcile and troubleshoot complex data sets with a commitment to accuracy.
Excellent written and verbal communication skills, with the ability to translate information into an organized, presentable format.
Flexible and adaptable to change.
Remote work is not available for the first two years.
Must have a valid driver’s license with a clean DMV driving record.
Must pass pre-placement drug and alcohol screen and background check.

Technologies

SQL
Power BI
Tableau
Data warehouses
Microsoft Excel
Microsoft PowerPoint
Microsoft Word

Benefits

Total compensation range: $80,000 - $95,000 per year.
Subsidized medical and dental coverage as part of the benefits package.
Generous vision reimbursement allowance for each covered family member per calendar year.
401(k) plan.
Paid time off and paid sick and safe time.
Employer-paid life insurance.
Subsidized gym membership.
Discounted tickets to major theme parks throughout California.

Overview

Sr. Financial Data Analyst – Location: Premier Finance and Accounting Department – Shift: Day.

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Today

Senior Data Analyst -SQL/Machine Learning /AI/PowerBI

Donnelly & Moore Corporation New York, NY

New York, NY

Today

$65+/hr Full time Python Senior Ai Ml

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Job Description

The Senior Data Analyst role in New York City offers a hybrid work arrangement and centers on SQL, PySpark, Python with Pandas, and machine learning initiatives. This position is open to local candidates, with a two-hour onsite interview in NYC. Compensation is USD 65 per hour.

Responsibilities

Perform SQL-based data extraction and analysis
Process data with PySpark to support large-scale workflows
Carry out analyses using Python and Pandas
Derive actionable insights from sizable datasets
Develop and evaluate machine learning models
Deliver analytics and reporting to inform decisions

Requirements

Strong SQL query writing and optimization
Proficiency in PySpark
Python programming skills
Experience with Pandas for data manipulation
Background in machine learning applications
Ability to write, execute, and troubleshoot SQL queries
Data extraction and integration capabilities
Experience creating joins, aggregations, and filters
Basic to intermediate data transformations
Building and maintaining data pipelines
Large-scale data processing and optimization
Data cleansing and preparation
Data transformation in distributed environments
Exploratory data analysis and data manipulation with Pandas
Exposure to classification, regression, and clustering models
Model evaluation and performance measurement

Technologies

SQL
PySpark
Python
Pandas
PowerBI
Databricks
Google Cloud Platform (GCP)

Benefits

401(k)
Dental insurance
Health insurance
Vision insurance

Interview Details

In-person interview only, no video interviews
Candidate must be local to attend a two-hour onsite session in NYC
Live SQL and PySpark coding exercises will be conducted
Candidates should have thoroughly validated hands-on coding skills prior to submission

Team Structure

10 Data Engineers
6 Data Scientists

Certifications

Highly Preferred: Databricks Data Engineer Certification
Acceptable Post-Hire: Databricks Certification
Acceptable Post-Hire: Google Cloud (GCP) Certification

Priority Technical Skill: PySpark

Building and maintaining data pipelines
Large-scale data processing
Data transformation and optimization
Distributed data environments

Python and Pandas

Data cleansing and preparation
Data transformation
Exploratory data analysis
Data manipulation with Pandas

Machine Learning Focus

Classification models
Regression models
Clustering techniques
Model evaluation and performance measurement

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Today

Data Analyst for Preparing and Retaining Educators through Partnerships (PREP) Allotment (Data Analyst IV)

TEXAS EDUCATION AGENCY Austin, TX

Austin, TX

Today

$5,425 - $7,156/mo Full time Senior Analyst Analytics

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Job Description

The Data Analyst for PREP Allotment at the Texas Education Agency is an onsite role in Austin, TX focused on SAS based data extraction, reporting, and governance to support PREP Allotment initiatives.

Responsibilities

Design, develop, test, and execute SAS code to query, compile, and manipulate data required for PREP Allotment client units; perform complex analysis on data relationships, build visualizations, interpret findings, identify patterns, and communicate results and key insights to respond to identified client units; support the creation of state, federal, and internal reporting, including Public Information Requests
Design, develop, test, and implement data collection tools including surveys and forms using software such as Qualtrics and Smartsheet's; review and manipulate collected data using SAS and BI software to identify trends, generate insights, and present key findings to identified client units
Serve as an essential partner to identified client units, guide decision-making, and align EDRS collaborations with clients' needs and goals
Conduct quality reviews of data sets and other analytical products created or received by the EDRS - EPCE unit, acting on feedback from team members to systematically improve data and visualization products
Develop, implement, test, and document technical work related to the EDRS-EPCE unit and other TEA internal projects; maintain data governance standards, management tools, usage guidelines, and storage procedures

Requirements

Education: Graduation from an accredited four-year college or university
Experience: At least three (3) years of experience in data analysis, research, compilation, and/or reporting work
Substitutions: An advanced degree may substitute for two years of required experience
Belief that all Texas students can achieve at high levels and succeed in college, career, or the military
Experience working with large data sets and educational systems is preferred
Knowledge of statistical procedures used in the analysis of data sets
Proficiency with software and programming languages used for statistical analysis and database interaction, including SAS, SQL, and other applicable languages and packages
Experience using Qualtrics to design surveys and analyze findings based on responses
Expertise in developing engaging data visualizations using BI software, with Power BI preferred
Experience designing, generating, and updating high-quality reports for a range of audiences based on user requirements
Ability to plan, organize, and manage multiple work streams using project management techniques with general supervision
Experience analyzing systems and procedures to identify improvements to data production, reporting, or analytics
Strong communication skills, both verbal and written
Ability to compose, review, and edit technical documents
Proficiency in interpreting and applying guidelines, policies, procedures, laws, and regulations
Experience with Texas education data is preferred
Desire to self-reflect, give and receive feedback, and continuously improve
Ability to maintain effective working relationships with a variety of individuals and groups

Technologies

SAS
SQL
Qualtrics
Smartsheet
Power BI
Microsoft Office

Essential Functions

1. Client support: Datasets and Reports — Design, develop, test, and execute SAS code to query, compile, and manipulate data required for PREP Allotment client units; perform complex analysis on data relationships, build data visualizations, interpret findings, identify data patterns, and communicate results and key insights to respond to identified client units; support the creation of all necessary state, federal, and internal reporting, including Public Information Requests
2. Client support: Data Collection tools — Design, develop, test, and implement data collection tools including surveys and forms using software such as Qualtrics and Smartsheet's; review and manipulate collected data using SAS and BI software to identify trends, generate insights, and present key findings to identified client units
3. Client support: Strategic Advising — Serve as an essential partner to identified client units, guide decision-making and align EDRS collaborations with clients' needs and goals
4. Quality Assurance — Conduct quality reviews of data sets and other analytical products created or received by the EDRS-EPCE unit, acting on feedback from team members to systematically improve data and visualization products
5. Documentation — Develop, implement, test, and document technical work related to the EDRS-EPCE unit and other internal TEA projects; maintain data governance standards, management tools, usage guidelines, and storage procedures

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1d ago

Lead Data Engineer

Agility Partners Dublin, OH

Dublin, OH

1d ago

$145k - $150k/yr Full time Senior Cloud Cloud Platform

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Job Description

The Lead Data Engineer will decommission legacy SQL based infrastructure and rebuild data pipelines on modern cloud platforms, including Snowflake, AWS, and dbt, to support Safelite’s SV2 transformation.

Responsibilities

Assess SSIS packages and document the underlying business logic
Rebuild and modernize data pipelines using dbt, Snowflake, and AWS
Migrate data from legacy SQL clusters to scalable cloud-based infrastructure
Collaborate with business and technical stakeholders to define, test, and deploy clean, optimized pipelines
Contribute to architectural decisions aligned with Safelite’s SV2 transformation strategy

Requirements

Extensive experience with SSIS and a solid understanding of package structures
Expert-level SQL skills
Proven track record in cloud data engineering, including migrating and transforming large-scale data in the cloud
Proficiency in dbt, including dbt seeds and modular pipeline builds

Technologies

SSIS
dbt
Snowflake
AWS
SQL

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

Project Overview

You will join a newly formed team dedicated to decommissioning legacy SQL based infrastructure and rebuilding pipelines and logic on modern cloud platforms such as Snowflake, AWS, and dbt. This is a high impact role supporting one of Safelite’s most visible internal transformations.

Team Culture

This is a highly collaborative, fast moving group of problem-solvers. The environment favors smart, self-starting professionals who are focused on delivering results.

Nice-to-have Skills

Experience with Snowflake modeling and performance tuning
Familiarity with AWS cloud services
Exposure to Type 2 slowly changing dimensions
Understanding of medallion architecture (bronze/silver/gold)

Compensation

Salary: USD 145,000 - 150,000 per year

Location: Dublin, OH, onsite

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2d ago

Sr Data Analyst Labor

Home Depot / THD Atlanta, GA

Atlanta, GA

2d ago

Full time Senior Analyst Analytics

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Job Description

Location

Atlanta, GA (onsite)

Responsibilities

40% of time spent improving labor and related business decisions that drive productivity in US retail stores. Design, develop, and implement analytical tools, technology, and business solutions to educate and influence labor clients and business leaders. Create dashboards, reports, presentations, and visual aids to support decision making. Identify new opportunities to optimize labor decisions and store productivity.
40% of time leading analyses of moderate to high complexity for Home Depot's hourly payroll labor model to drive business decisions and efficiency. Identify trends, determine root causes, and provide analytical insights to client groups and leaders to inform labor model decisions.
20% of time supporting existing analytical tools and dashboards while developing additional technical competencies and subject matter expertise to enable process improvements.

Requirements

Must be 18 years of age or older
Must be legally permitted to work in the United States
Bachelor's degree or equivalent degree in a field related to the job
Minimum 2 years of experience
No previous leadership experience

Technologies

Microsoft Office Suite
Tableau
Microsoft PowerPoint
SQL / BigQuery SQL
GenAI tools (ChatGPT, Copilot, Claude, Gemini)

Direct Manager / Direct Reports

This position typically reports to the Data Analytics Manager- Labor and has up to 0 direct reports.

Travel Requirements

No travel required.

Physical Requirements

Most of the time is spent sitting in a comfortable position with frequent movement potential. Rarely, light articles may need to be moved or lifted.

Working Conditions

Located in a comfortable indoor environment. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Education

Minimum: Bachelor's degree or equivalent in a field related to the job. Preferred: Bachelor's degree in a related field.

Experience

Minimum: 2 years. Preferred: 2 years of relevant experience.

Preferred Qualifications

Working knowledge of Microsoft Office Suite
Working knowledge of Tableau
Working knowledge of presentation software (e.g., Microsoft PowerPoint)
Demonstrated ability to collaborate with cross-functional teams
Ability to develop and apply advanced mathematical/statistical techniques
Ability to draw accurate conclusions from financial documentation
Ability to convey complex ideas and processes to diverse audiences
Excellent written and verbal communication skills
Proficiency in SQL / BigQuery SQL, Tableau, and/or similar tools with a track record of learning new skills
Working knowledge of GenAI tools (ChatGPT, Copilot, Claude, Gemini)

Competencies

Action Oriented
Decision Quality
Manages Ambiguity
Customer Focus
Drives Results

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3d ago

Senior Data Analyst

Leidos Remote 🌍 Remote

Remote

3d ago

$87k - $157k/yr Full time Senior Analyst Analytics

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Job Description

Leidos offers a remote, results-driven environment with a competitive salary range of USD 87,100 to 157,450 per year. The company provides Health and Wellness programs, Income Protection, Paid Leave, and Retirement benefits. The Senior Data Analyst role centers on developing Power BI dashboards and data visualizations to support defense modernization programs, collaborating with the Product Owner, UX Designer, and IT to ensure reliable data and actionable insights.

Responsibilities

Work with the Product Owner and UX Designer to design, develop, and maintain interactive Power BI dashboards that deliver meaningful insights to stakeholders.
Collaborate with cross-functional teams to translate business requirements into effective data visualizations and reports.
Leverage APIs across multiple platforms to connect and extract data, ensuring accurate and timely data retrieval.
Participate in user story creation, sprint planning, and test case development within an agile project environment.
Implement best practices for data modeling, including efficient data transformation and aggregation.
Work with the IT team to ensure availability and reliability of data sources and troubleshoot issues as they arise.
Stay current with industry trends and advancements in Power BI and related technologies to continuously enhance dashboard design and functionality.

Requirements

DoD Secret clearance (prior to start date); US citizenship required.
Bachelor’s degree and 4 to 8 years of relevant experience; additional years may substitute for education.
4+ years of experience with Business Analytics tools for developing reports and dashboards.
4+ years of experience with Power BI including M Query, DAX, Data Modelling, and/or Row-Level Security (RLS).
3+ years in database technologies with strong SQL query writing, preferably SQL Server.
1+ year of Python experience.
Experience working in an Agile environment with tools such as Jira and GitLab.
Excellent communication skills to translate business requirements into dashboards and reports.
Current IAT Level II or higher certification such as Security+ within 30 days of start.

Technologies

Power BI
M Query
DAX
SQL Server
Python
Jira
GitLab

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

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3d ago

Senior Data Analyst – Data Discovery & Reporting Assessment

Central Point Partners Reynoldsburg, OH

Reynoldsburg, OH

3d ago

$45 - $50/hr Contract Senior Analyst Analytics

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Job Description

Benefits

This contract role in Reynoldsburg, OH offers a hybrid remote arrangement and a competitive hourly rate of $45 to $50. You will influence executive-level decision making by surfacing data assets and optimizing the reporting environment, with a clear path to impact strategic data initiatives.

Hybrid remote work in Reynoldsburg, OH 43069
Competitive pay: $45.00–$50.00 per hour
Contract engagement with exposure to executive stakeholders
Focus on data discovery, validation, and reporting optimization

Responsibilities

Conduct stakeholder interviews and working sessions to surface formal data systems (SQL Server, MySQL/MariaDB, PostgreSQL, Snowflake) and informal data sources (spreadsheets, Airtable, SharePoint, etc.)
Perform an in-depth analysis of databases, reviewing schemas and stored data to understand available data for analysis
Compile a practical inventory of structured and non-standard data assets with emphasis on how they are used
Identify overlap, duplication, and conflicting data across systems; clarify likely systems of record versus derivative copies
Capture data quality concerns, schema inconsistencies, and implementation nuances that affect reporting and downstream use
Deliver a concise, working-level summary of findings suitable for translation to executive stakeholders
Validate and refine the report inventory through stakeholder engagement and usage data
Assess report effectiveness, including active use, redundancy, underutilization, or confusion
Develop clear disposition recommendations for each report (Keep, Retire, Consolidate, Modify) with practical rationale
Identify opportunities to consolidate highly specific or duplicative reports into strategic, multi-use outputs
Surface gaps such as unanswered business questions and unmet reporting needs
Document inconsistencies in definitions, metrics, and terminology across teams
Deliver a concise summary of insights, recommendations, and prioritization guidance to support executive decision-making
Identify any missing items from the client’s list beyond the evaluated reports
Phase II relies on interviews and actionable summaries; deliver structured, defensible outcomes without heavy executive formatting
For both phases, provide a comprehensive data report that includes an executive summary and supporting analysis for planning next steps