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Data Analytics Computer Science Jobs in Pennsylvania

Weidenhammer Systems Corp.

Data Analytics Consultant

PA · On-site +1

S./M.S. in Computer Science, Software Engineering, or related discipline. • Proven ability to ... data reporting, analytics, visualization, and integration experience. • Minimum 5 years of data ...

Cmu

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives ...

Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

... analytics, with substantial telecom industry exposure. - Analyze and manipulate large datasets ... in Data Science, Statistics, Computer Science, Engineering, Business, or related field (or ...

Kanak Elite Services Inc

Data Analytics

Malvern, PA · On-site

Partner with Data Scientists, to enhance MMM/MTA models with experimentation results. * Other analyses and data support as needed. Qualifications (Minimum 5-8 years): * Bachelor's degree and industry ...

S&T Bank

Data & Analytics Senior Analyst

Pittsburgh, PA · On-site

$83K - $105K/yr

Required : • Requires a four-year degree in data science, computer science, applied mathematics ... analytics and financial services. Company : S&T Bank was founded in 1902 as "Savings & Trust ...

S and T Bank

Data & Analytics Senior Analyst

Indiana, PA · On-site

$48K - $115K/yr

The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and ... Requires a four-year degree in data science, computer science, applied mathematics, statistics ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Our data analytics advisory services enable our customers to transform data into insights by ... Bachelor's degree in Computer Science, a related field, or equivalent experience * 2+ years of ...

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All JobsData Analytics Computer Science JobsData Analytics Computer Science Jobs in Pennsylvania

Data Analytics Computer Science information

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities in Pennsylvania are hiring for Data Analytics Computer Science jobs? Cities in Pennsylvania with the most Data Analytics Computer Science job openings:
Data Analytics Computer Science jobs near you
Data Analytics Consultant

Data Analytics Consultant

Weidenhammer Systems Corp.

PA • On-site, Remote

Full-time

Posted 9 days ago

Job description

At Weidenhammer the Data Analytics Consultant role is engaged in architecture, consulting and development of Data Engineering and Business Intelligence solutions related to client projects. This role will also participate in activities that are directed at the overall growth of the Analytics and Data Estate Practice within Hammer Dev. This is a client facing role requiring excellent relationship management, communication, and solution architecture / development skills.
Essential Functions and Responsibilities
• Support solution decision-making as a trusted technical advisor.
• Design, implement, and deploy data platforms in public and private cloud environments.
• Guide clients on data strategy, governance, architecture, and quality management.
• Conduct customer workshops, discovery sessions, and presentations.
• Educate clients on modern technologies and their business value.
• Define processes and tools for data acquisition, storage, transformation, and analysis.
• Communicate solution and technology options and their business impact.
• Develop roadmaps and implementation strategies for data initiatives.
• Review and audit existing solutions and create architecture documentation.
• Discuss solutions with stakeholders from C-level to engineering teams.
• Function in various roles throughout the project lifecycle.
Assist in pre-sales activities and client presentations
Requirements
• Excellent analytical, verbal, written, and communication skills.
• Ability to communicate professionally with senior leadership in the role of project leader.
• Contribute to an engaging work environment.
• Provide technical expertise in business analytics, data integration, and visualization.
• Specialist knowledge in major relational and NoSQL-type data platforms.
• Specialist knowledge of Microsoft Fabric workloads including Reporting (Power BI interactive and Paginated Reporting), Data Engineering, Data Factory, Data Science, Data Warehouse, Database & Real-Time Intelligence.
• Expert-level skillset and experience architecting and developing all components of modern analytics stacks, including MDM, normalization, Business Intelligence / Visualization, relational data warehouse / lake house structures, popular schemas, ETL & ELT.
• Ability to identify company requirements for data insights and warehousing.
• Comfortable working with various corporate stakeholders.
• Expert in architecting Data Lakes and modern data concepts.
• Experience with Row-Level Security.
• Experience leveraging Python and GenAI for development.
Nice to Have:
• Experience with big data technologies, Data Bricks, and Snowflake.
• Experience with Kimball, Bottom-Up, Top-Down, Inmon, and Data Vault concepts.
• Experience with Star & Snowflake.
• Experience with Azure Data Factories, SSIS, Azure Synapse Analytics and Azure Stream Analytics
Required Education and Experience
• B.S./M.S. in Computer Science, Software Engineering, or related discipline.
• Proven ability to develop and implement high-quality software solutions.
• Minimum 5 years of Microsoft data reporting, analytics, visualization, and integration experience.
• Minimum 5 years of data solution development experience.
• Vast knowledge of Microsoft technology stacks, including Azure and M365.
• At least one active Microsoft Fabric certification.

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