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Data Analyst Comcast Jobs in Ohio (NOW HIRING)

$150 - $250/hr

... Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500--rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered ...

$180 - $240/hr

... including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 -- rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is ...

Data Analyst Comcast information

What does a data analyst at Comcast do?

A Data Analyst at Comcast is responsible for collecting, processing, and analyzing data to help the company make informed business decisions. They work with large datasets, generate reports, and identify trends to support various teams such as marketing, sales, and operations. Their insights help improve customer experience, optimize internal processes, and drive strategic initiatives across the organization.

What are the key skills and qualifications needed to thrive as a data analyst at Comcast?

To thrive as a Data Analyst at Comcast, you need a strong background in statistics, data visualization, and analytical thinking, typically supported by a degree in a quantitative field such as mathematics, computer science, or economics. Familiarity with tools like SQL, Python, Tableau, and experience with data warehousing or cloud platforms is essential. Strong communication, attention to detail, and problem-solving skills help you translate complex data into actionable business insights. These skills are vital for driving data-informed decisions and supporting Comcast’s operational and strategic goals.

How does a data analyst at Comcast typically collaborate with cross-functional teams, and what tools are commonly used?

As a Data Analyst at Comcast, you will frequently collaborate with teams such as marketing, engineering, and product management to provide data-driven insights that inform business decisions. These collaborations often involve regular meetings, sharing dashboards, and presenting findings to both technical and non-technical stakeholders. Common tools used include SQL for querying databases, Tableau or Power BI for data visualization, and platforms like Slack or Microsoft Teams for communication. Building strong relationships and clearly communicating complex data findings are essential for success in this collaborative environment.

What is the difference between Data Analyst Comcast vs Data Scientist Comcast?

AspectData Analyst ComcastData Scientist Comcast
Required CredentialsBachelor's in Statistics, Data Analysis, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAnalyzing data sets, creating reports, supporting business decisionsDeveloping predictive models, advanced analytics, machine learning
Employer & Industry UsageCommonly employed in telecom, media, and technology sectorsUsed in similar industries but with a focus on complex data modeling

While both roles involve working with data within Comcast, Data Analysts focus on interpreting data and generating reports, whereas Data Scientists develop models and algorithms for deeper insights. The roles share similar credentials and work environments but differ in complexity and scope of data analysis.

What job categories do people searching Data Analyst Comcast jobs in Ohio look for?

The top searched job categories for Data Analyst Comcast jobs in Ohio are:

EMEA Energy Industry Go-To-Market (GTM) Leader

Databricks Inc.

On-site

$150 - $250/hr

Other

Posted 22 days ago


Job description

Overview

Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Energy industry go‑to‑market (GTM) motion across the Europe, Middle East, and Africa (EMEA) region. As a key member of our global industry GTM team, you will shape and drive how Databricks engages the energy sector in one of the world's most dynamic markets. You will collaborate deeply on a day‑to‑day basis with EMEA sales, field engineering, and GTM leadership.

You will operate at the intersection of industry expertise, customer engagement, and commercial strategy, helping Databricks win in a market where data and AI are redefining how energy systems are built and optimized to support future economic growth. Bring deep industry domain knowledge and a proven track record of harnessing the transformative potential of data and AI to drive real business value.

Key Responsibilities
  • Strategic Vision & Executive Engagement: Lead AI vision‑setting engagements with top energy accounts, advising CEOs and executive teams on strategic adoption and impact. Cultivate and maintain executive‑level relationships with customers, partners, and key industry stakeholders across the EMEA region.
  • GTM Strategy & Pipeline Growth: Lead the strategic and operational execution of GTM initiatives across the energy sector in EMEA, including oil and gas, power and utilities, renewables, and mining. Drive pipeline growth and accelerate customer adoption. Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights.
  • Cross‑Functional Alignment: Build strong alignment with EMEA sales, field engineering, marketing, partnerships, and product teams. Develop and execute industry‑specific GTM programs that convert market opportunity into revenue.
  • Thought Leadership & Market Analysis: Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry. Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high‑value growth opportunities.
  • Travel regularly to support customer meetings, executive engagements, and industry events.
Qualifications
  • Education: Bachelor's degree in Business, Engineering, or a related field. An MBA or equivalent postgraduate qualification is strongly preferred.
  • Industry Leadership: 10+ years of leadership experience in the energy sector, including at least 5 years in a GTM, strategy, or business development role within strategic consulting (ex‑MBB preferred) and product‑led technology companies.
  • Commercial Success: Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes.
  • Domain Expertise: Expert‑level domain knowledge in one or more of the following areas: subsurface intelligence, industrial AI, energy and commodity trading, and grid resilience. Familiarity with key energy industry standards bodies and frameworks across the EMEA region. Strong understanding of the modern data and AI technology landscape and how it applies to every aspect of the energy sector.
  • Soft Skills & Collaboration: Demonstrated ability to influence and lead cross‑functional teams without direct authority in a matrixed, fast‑moving organization. Track record of building trusted relationships with senior executives in a multilingual, multicultural market like EMEA. Exceptional communication skills—both written and verbal—with the ability to translate technical and data concepts into compelling business narratives for executive audiences.
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Diversity and Inclusion

We are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure our hiring practices are inclusive and meet equal employment opportunity standards. Individuals seeking employment are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

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