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Professional Data Jobs (NOW HIRING)

The Data Scientist will be a hybrid professional who combines deep statistical rigor with an engineering first mindset, with a mission to translate complex business challenges into an end-to-end ...

Advanced degree preferred or equivalent experience* 3-5 years of professional data science or machine learning experience* Strong proficiency in Python and ML libraries* Experience with cloud ...

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

GCP Professional Data Engineer certification * Experience supporting ML/AI data infrastructure (feature engineering, training datasets) * Familiarity with real-time streaming (Kafka, Dataflow/Flink)

$95 - $130/hr

The Data Scientist will be a hybrid professional who combines deep statistical rigor with an engineering first mindset, with a mission to translate complex business challenges into an end-to-end ...

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

BigQuery, Cloud Storage, Pub/Sub, Dataflow • Solid understanding of ETL/ELT patterns and data warehousing principles Preferred : • GCP Professional Data Engineer certification • Experience ...

Active participation in professional data science communities and organizations. * Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP), Cloudera ...

Sr. GCP Data Engineer

New York, NY · On-site

$125K - $150K/yr

GCP Professional Data Engineer Certification * Migration experience from Teradata, Hadoop, Oracle, or SQL Server to GCP * QA processes, test case creation, and data validation techniques

J Construction Safety Professional - Data Center Project Location: Northern Colorado- jobsite in Cheyenne to start Pay: $40-$50 per hour (based on experience) Job Type: Full-Time | Project-Based ...

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Master's Degree in Computer Science, Data Engineering, or a related quantitative field. * 5+ years of professional Data Engineer experience * Strong SQL skills: Ability to write complex queries ...

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

GCP Professional Data Engineer or Associate Cloud Engineer certification. * Experience with Apache Beam, Kafka, or similar streaming frameworks. * Familiarity with CI/CD pipelines for data ...

J Construction Safety Professional - Data Center Project Location: Northern Colorado- jobsite in Cheyenne to start Pay: $40-$50 per hour (based on experience) Job Type: Full-Time | Project-Based ...

Showing results 21-40

Professional Data information

What is a professional data analyst?

A Professional Data Analyst is a specialist who collects, processes, and interprets large sets of data to help organizations make informed decisions. They use statistical techniques, data visualization tools, and analytical software to identify trends, solve problems, and provide actionable insights. Data analysts often work closely with business teams to ensure that data-driven strategies align with organizational goals. Their role requires strong analytical skills, attention to detail, and proficiency in programming languages such as SQL, Python, or R.

What are the key skills and qualifications needed to thrive as a data professional?

To thrive as a Data Professional, you need strong analytical skills, a solid understanding of statistics, and proficiency in data management, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills are essential for transforming raw data into actionable insights that drive business decisions and strategies.

What are the most common challenges faced by professionals working in data roles, and how can they be addressed?

Professionals in data roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and keeping up with rapidly evolving tools and technologies. Collaboration with cross-functional teams can also present difficulties, especially when translating technical findings into actionable business insights. Addressing these challenges typically involves ongoing learning, clear communication with stakeholders, and implementing effective data governance practices to maintain accuracy and security. Building strong relationships with colleagues in IT, analytics, and business units is also crucial for success.

What is the difference between Professional Data vs Data Analyst?

AspectProfessional DataData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; often certifications in data managementBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL often preferred
Work EnvironmentCorporate offices, data centers, or remote settings; involved in data management and strategyOffice environments; focused on data analysis, reporting, and visualization
Employer & Industry UsageUsed across industries like finance, healthcare, and tech for data governance and strategyCommonly employed in business intelligence, marketing, and finance for data interpretation

Professional Data roles focus on managing, organizing, and ensuring data quality, often requiring broader data management skills. Data Analysts primarily interpret data, create reports, and support decision-making through analysis. While both roles work with data, their core responsibilities and skill sets differ, making each essential in different stages of data utilization.

What does a professional data do?

A professional data role involves collecting, analyzing, and interpreting data to support decision-making within an organization. They often use tools like SQL, Excel, or data visualization software and require strong analytical skills and attention to detail. Their work helps improve business processes, identify trends, and inform strategic planning.

What cities are hiring for Professional Data jobs?

Cities with the most Professional Data job openings:

What are the most commonly searched types of Data jobs?

The most popular types of Data jobs are:

What states have the most Professional Data jobs?

States with the most job openings for Professional Data jobs include:

Senior Data Management Professional - Data Product Owner - OTC Pricing (FX)

Bloomberg L.P.

Manhattan, NY • On-site

$90 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies


Job description

Senior Data Management Professional - Data Product Owner - OTC Pricing (FX)

Location: New York

Business Area: Data

Ref #: 10052492

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

The Role

As a Senior Data Management Professional within OTC Pricing, you will define and implement data-driven strategies to acquire new content sets and maximize the value of our existing datasets, ensuring they are high quality, commercially impactful, and aligned with evolving client needs. Using your deep knowledge of foreign exchange markets, you will design and manage initiatives that expand and enhance our product offering, identify gaps, and address emerging use cases. You will collaborate closely with internal partners and senior leaders to drive customer-centric outcomes, proactively manage third-party content investments, and mobilize cross‑functional teams to support growth initiatives. Instinctively curious and strategically minded, you will build strong internal networks, communicate clear and coordinated updates, and translate vision into measurable results across regions in a fast-moving, complex market environment.

We’ll Trust You To:
  • Set and prioritize data-driven strategies and target discovery and acquisition of new datasets and track progress in achieving these goals
  • Build relationships with key internal partners and decision-makers to understand and align closely with their priorities
  • Ensure existing datasets are fit-for-purpose, accessible, and usable in order to increase the return on our investment in onboarding the content
  • Lead and implement Data Quality projects based on evolving business prioritization and commercial landscapes
  • Proactively manage the budget and cost associated with third‑party content that falls within our domain, and ensure we optimize commercial arrangements to drive the greatest value for Bloomberg and our customers
  • Lead campaigns across OTC Pricing to mobilize the wider team of Relationship Managers and Technical Account Managers
  • Identify and close gaps in existing product offerings and expand to account for emerging client use cases
  • Act as an ambassador for the FX content that drives our product, and as a representative for the Content Acquisition team throughout the company
You’ll Need to Have:
  • Bachelor’s degree in Finance, Business, Economics, Accounting, STEM or degree‑equivalent qualifications
  • 4+ years of experience in financial markets and deep understanding of foreign exchange markets including market structure, the latest market trends and the competitive landscape
  • Excellent stakeholder management and influencing skills across complex functions, geographies, and seniority levels
  • Proven ability to translate vision into measurable outcomes and actionable goals for regional teams
  • Demonstrated ability to drive cross-regional execution, alignment, and strategic communication
  • Strategic approach with a bias for action, comfortable making decisions with imperfect information in fast-moving markets
  • Excellent written and verbal communication skills
Salary Range = 90,000 - 125,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k)+match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Equal Opportunity Employer

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, colour, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net

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Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981