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Data Analytics Jobs in Forney, TX (NOW HIRING)

People Data Analytics Lead

Dallas, TX · On-site

$180K - $250K/yr

Role Overview You'll be Harvey's founding People Data Analytics Lead - the technical leader for our people analytics function. You'll set the long-term direction for how we measure, model, and act on ...

Solutions Architect IV - Data Analytics

Plano, TX · On-site

$61 - $78.50/hr

Configure, develop and support applications used on our Data & Analytics tech stack * Design and specify integrations between solutions collaborating with stakeholders and other IT teams * Create ...

KPMG is currently seeking a Manager, Oracle Data &Analytics in Enterprise Solutions for our Consulting practice. Responsibilities: * Lead the implementation and configuration of Oracle FusionData ...

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of enterprise analytics and AI capabilities that enable data-driven and AI-augmented decision-making ...

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of enterprise analytics and AI capabilities that enable data-driven and AI-augmented decision-making ...

Showing results 21-40

Data Analytics information

See Forney, TX salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analytics in Forney, TX is $49.32, according to ZipRecruiter salary data. Most workers in this role earn between $39.62 and $55.87 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.
What are the most commonly searched types of Data Analytics jobs in Forney, TX? The most popular types of Data Analytics jobs in Forney, TX are:
What are popular job titles related to Data Analytics jobs in Forney, TX? For Data Analytics jobs in Forney, TX, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Forney, TX look for? The top searched job categories for Data Analytics jobs in Forney, TX are:
What cities near Forney, TX are hiring for Data Analytics jobs? Cities near Forney, TX with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Forney, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $102,584 per year, or $49.3 per hour.

Global Data & Analytics Offering Leader

NTT DATA Services

Plano, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services


Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Global Data & Analytics Offering Leader to join our team in Plano, Texas (US-TX), United States (US).

Global Data & Analytics Offering Leader - REMOTE About NTT DATA

NTT DATA is a trusted global innovator of business and technology services, serving clients across industries in more than 50 countries. We help organizations transform through data, cloud, AI, and digital innovation, combining deep industry expertise with leading technology partnerships to deliver measurable business outcomes.

 Role Overview

NTT DATA is seeking a strategic and commercially minded Global Data & Analytics Offering Leader to define, scale, and drive the growth of our global Data & Analytics offerings, with a focused emphasis on the Snowflake and Databricks ecosystems. This executive leadership role sits at the intersection of market strategy, alliance management, solution innovation, sales enablement, and business growth.

The successful candidate will own the global offering vision, investment strategy, and go-to-market execution, working closely with alliance partners, industry leaders, sales teams, delivery organizations, and executive stakeholders to build differentiated, scalable solutions that drive client value and accelerate revenue growth.

This leader will serve as the global ambassador for NTT DATA's Data & Analytics portfolio, strengthening strategic partnerships, expanding market presence, and ensuring continued innovation across modern data platforms, AI, analytics, and data management solutions.

 Key Responsibilities Offering Strategy & Portfolio Leadership
  • Define and own the global Data & Analytics offering strategy, roadmap, and business plan, with a primary focus on Snowflake and Databricks-based solutions.
  • Establish differentiated value propositions, target markets, industry priorities, and commercialization plans.
  • Identify emerging market trends, client demands, and technology innovations to continuously evolve the portfolio.
  • Drive the development of repeatable, scalable offerings and solution accelerators that enable faster customer adoption and measurable business outcomes.
 Alliance & Ecosystem Leadership
  • Serve as the executive relationship lead for strategic global alliances, including Snowflake and Databricks.
  • Develop and execute joint go-to-market strategies, co-sell motions, and partner growth initiatives.
  • Expand NTT DATA's partner standing and influence within the Snowflake and Databricks ecosystems.
  • Collaborate with alliance leadership to identify investment opportunities, market expansion strategies, and new revenue streams.
 Commercial & Business Growth
  • Own business case development, investment planning, and financial performance for the offering portfolio.
  • Drive revenue growth, pipeline generation, certification targets, and market expansion objectives.
  • Manage offering-level P&L performance, ROI measurement, and growth reporting.
  • Partner with sales and industry leaders to identify, qualify, and pursue strategic opportunities globally.
 Solution Innovation & Enablement
  • Lead the creation of industry-specific accelerators, frameworks, methodologies, and reference architectures.
  • Enable global sales and delivery teams through playbooks, solution messaging, competitive positioning, training programs, and pursuit support.
  • Ensure offerings align with evolving client needs across data modernization, governance, analytics, AI/ML, and cloud transformation initiatives.
  • Support large, strategic pursuits and client engagements by providing executive-level solution leadership.
 Market Presence & Thought Leadership
  • Represent NTT DATA at executive client meetings, industry forums, analyst briefings, partner events, and conferences.
  • Act as a thought leader and spokesperson for Data & Analytics solutions and market trends.
  • Contribute to market awareness through publications, speaking engagements, and strategic partner initiatives.
  • Build executive relationships with clients, partners, and industry influencers.
 Performance & Governance
  • Establish KPIs and success metrics across pipeline, bookings, revenue, certifications, partner engagement, and customer outcomes.
  • Monitor offering performance and continuously refine strategies based on market feedback and business results.
  • Drive governance, accountability, and operational excellence across the offering lifecycle.
 Required Qualifications
  • 15+ years of experience in Data & Analytics consulting, technology strategy, platform leadership, offering management, or related executive roles within a Global Systems Integrator (GSI), consulting firm, or enterprise technology organization.
  • Proven experience building, scaling, and commercializing data platform, data management, analytics, AI, or cloud-based offerings.
  • Strong understanding of Snowflake, Databricks, modern data architectures, and cloud data platforms.
  • Demonstrated success managing strategic technology partnerships and alliance-led growth initiatives.
  • Strong financial acumen including business case development, investment management, P&L ownership, and revenue accountability.
  • Deep expertise in modern data ecosystems, including:
    • Data Engineering
    • Data Management & Governance
    • Data Platforms & Cloud Data Warehousing
    • Artificial Intelligence & Machine Learning
    • Business Intelligence & Analytics
  • Exceptional executive communication, stakeholder management, and influencing skills.
  • Experience leading cross-functional global teams across sales, consulting, delivery, alliances, and industry organizations.
  • Bachelor's degree required.
  • MBA or relevant advanced degree preferred.
 Preferred Experience
  • Existing executive relationships within the Snowflake and/or Databricks partner ecosystems.
  • Experience leading global alliance programs and large-scale technology partnerships.
  • Demonstrated success driving market growth through strategic partnerships and co-innovation initiatives.
  • Experience shaping and closing large transformation programs involving data, analytics, AI, and cloud modernization.
 Why Join NTT DATA

This is a unique opportunity to shape the future of NTT DATA's global Data & Analytics business, influence strategic partnerships with industry-leading platforms, and play a pivotal role in defining how organizations leverage data and AI to accelerate growth, innovation, and business transformation. As a global leader within the practice, you will help drive the next generation of data-driven solutions for some of the world's most recognized organizations.

NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this role is $150,000 - $350,000 per year. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.  This role may also be eligible for incentive compensation based on individual and/or company performance. 

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967