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Data Analyst Data Scientist Jobs (NOW HIRING)

psudo

... analytic needs Requirements: * Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work ...

Cliff Services Inc

Data Scientist

Dallas, TX · Hybrid

... analytics and visualization Requirements 1-5 years in a data analyst, data scientist, or ML engineer role Strong foundation in statistics, probability, and data modeling Proficiency in Python, R, or ...

New

Cliff Services Inc

Data Scientist

Frisco, TX

... analytics and visualization Requirements 5+ years in a data analyst, data scientist, or ML engineer role Strong foundation in statistics, probability, and data modeling Proficiency in Python, R, or ...

New

Smadex

Growth Data Scientist

Austin, TX · On-site

They are seeking a Growth Data Scientist to analyze complex datasets, collaborate with teams, and drive insights that enhance their advertising platform. Responsibilities : • Dive deep into complex ...

RedSail Technologies, LLC

Clinical Data Scientist

Irving, TX · On-site +1

$130K - $160K/yr

Clinical Data Scientist Job Summary The RedSail Technologies Network Services Business Unit has the ... Analyzing the main characteristics of the data often through visualization and summary statistics.

WFN Team Indus US Test Client 2

Data Analyst

Manhattan, NY · On-site

$2K - $3K/yr

Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data ...

Smadex SLU

Growth Data Scientist

Austin, TX · On-site

We are looking for a Growth Data Scientist to work closely with internal and external teams to help ... The candidate should be communicative and analytical, in order to answer the complex questions that ...

Smadex SLU

Growth Data Scientist

Austin, TX · On-site

We are looking for a Growth Data Scientist to work closely with internal and external teams to help ... The candidate should be communicative and analytical, in order to answer the complex questions that ...

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Data Analyst Data Scientist information

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How much do data analyst data scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analyst data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges Data Analyst Data Scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

What are the key skills and qualifications needed to thrive as a Data Analyst or Data Scientist, and why are they important?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
More about Data Analyst Data Scientist jobs
What cities are hiring for Data Analyst Data Scientist jobs? Cities with the most Data Analyst Data Scientist job openings:
What states have the most Data Analyst Data Scientist jobs? States with the most job openings for Data Analyst Data Scientist jobs include:
What job categories do people searching Data Analyst Data Scientist jobs look for? The top searched job categories for Data Analyst Data Scientist jobs are:
Data Analyst Data Scientist jobs near you
Infographic showing various Data Analyst Data Scientist job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Analyst / Data Scientist

Data Analyst / Data Scientist

psudo

On-site, Remote

Full-time

Posted 8 days ago

Job description

Other locations: Canada, London, India & Australia.


Remote: OK


Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years (open to talk to freshers as well).
  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
Employment Type: FULL_TIME

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