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Data Analytics Jobs (NOW HIRING)

CFGI

Data & Analytics - Consultant

Charleston, WV

Data & Analytics - Consultant CFGI, founded in 2000, is a dynamic and fast-growing financial consulting firm, serving as the trusted partner to CFOs and their organizations. We help clients tackle ...

MoonPay

Director, Data & Analytics

New York, NY

$410K/yr

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

MoonPay

Director, Data & Analytics

New York, NY · On-site

$410K/yr

About the role As Director of Data & Analytics, you'll own Product Data & Analytics across Product & Engineering, reporting to the CTO, Ramps & Platform. You'll have a real mandate: build out the ...

MoonPay Inc.

Director, Data & Analytics

Manhattan, NY · On-site

$360 - $410/hr

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

New

Xforia, Inc.

Data Analytics & Technical Analyst"

Data Analytics & Technical Analyst Location: Remote Position Duration: 6+ Months About the Role * This Data & Analytics Technical Analyst will be responsible for the investigation, resolution ...

Zions Bank

Data Analytics Manager

Midvale, UT · On-site

This Data Analytics Manager will own the strategy, delivery, modernization, and reliable operation of critical data products supporting regulatory reporting, liquidity and balance-sheet management ...

New

Zions Bancorporation

Data Analytics Manager

Midvale, UT · On-site

This Data Analytics Manager will own the strategy, delivery, modernization, and reliable operation of critical data products supporting regulatory reporting, liquidity and balance-sheet management ...

New

American Express

Manager - Data Analytics

Manhattan, NY · On-site

$103K - $174K/yr

Conduct root cause analysis across product, operational, and portfolio performance challenges, synthesizing multiple data sources into actionable recommendations. * Evaluate competing priorities ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Cityblock Health

Director, Data Analytics

Concord, NC · On-site

$140K - $185K/yr

This role involves analyzing operational data, generating insightful reports, and providing actionable recommendations to improve efficiency, quality, and overall performance. The Director will ...

Current

Director, Data Analytics

New York, NY · On-site

DIRECTOR OF DATA ANALYTICS Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities. * Define ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities. * Define ...

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Data Analytics information

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$24

$54

$94

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
More about Data Analytics jobs
What cities are hiring for Data Analytics jobs? Cities with the most Data Analytics job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Data Analytics jobs? States with the most job openings for Data Analytics jobs include:
What job categories do people searching Data Analytics jobs look for? The top searched job categories for Data Analytics jobs are:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics Analyst 3

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 2 days ago

Job description

Data Analytics Analyst 3

Location:  Birmingham, AL ( HYBRID)

Contract- 3 Years

Client- Alabama Power
 

Job Summary

We are seeking an experienced Data Analytics Analyst (Level 3) with 5–10 years of experience to support enterprise-wide decision-making in the utilities sector. This position is responsible for developing advanced analytics solutions, integrating data from multiple sources, and presenting actionable insights to business and engineering leaders. The ideal candidate has strong technical skills, a background in ETL, SQL, and visualization, and the ability to translate complex datasets into meaningful business recommendations.

Key Responsibilities

  • Data Analysis & Reporting

    • Analyze complex operational and financial datasets to identify patterns, trends, and opportunities.

    • Develop dashboards, reports, and visualizations using Power BI and related tools.

    • Apply statistical and analytical techniques to provide actionable insights for stakeholders across utility operations, finance, and engineering.

  • Data Integration & ETL

    • Extract, transform, and load (ETL) data from multiple sources, ensuring data integrity and accuracy.

    • Develop and optimize queries using SQL, Python, DAX, and Power Query.

    • Maintain and improve data pipelines to support ongoing business operations.

  • Business Support & Collaboration

    • Partner with project managers, engineers, and finance teams to provide data-driven recommendations.

    • Support regulatory, financial, and operational reporting requirements.

    • Present findings clearly to both technical and non-technical stakeholders.

  • Innovation & Process Improvement

    • Explore and implement automation and low/no-code solutions to improve reporting efficiency.

    • Proactively identify opportunities for data-driven improvements in processes, systems, and performance tracking.

Qualifications

  • Education:

    • Bachelor’s Degree in Computer Science, Data Science, Statistics, Engineering, Finance, or related field (required).

  • Experience:

    • 5–10 years of hands-on experience in data analytics, ETL, and dashboard/report development.

    • Strong experience with SQL, Python, DAX, Power Query, and Power BI.

    • Experience with financial data analysis (preferred).

    • Knowledge of utility operations, engineering, or energy-related datasets is a strong plus.

    • Prior experience with Azure, Databricks, or big data technologies is advantageous.