ZipRecruiter

Log In

1

Data Analytics Computer Science Jobs in Lowell, MA

MITRE

Data Analytics

Bedford, MA · On-site

They are seeking an intermediate level Data Scientist to work within the Business Analytics and ... tuning, computer vision, time-series analysis, and related packages (e.g., scikit-learn) • ...

Roberts Recruiting

Data Scientist

Cambridge, MA · On-site

PhD or Masters in Data Science, Computer Science, Engineering, Physics, Mathematics or other scientific field of study. (PhD preferred) * Proven relevant experience in data analytics (does not need ...

next page

Showing results 1-20

All JobsData Analytics Computer Science JobsData Analytics Computer Science Jobs in Lowell, MA

Data Analytics Computer Science information

See Lowell, MA salary details

$24

$54

$93

How much do data analytics computer science jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data analytics computer science in Lowell, MA is $54.30, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

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 near Lowell, MA are hiring for Data Analytics Computer Science jobs? Cities near Lowell, MA with the most Data Analytics Computer Science job openings:
Data Analytics Computer Science jobs near you

Lead - Business Data Analytics, Insights & AI

The Crosby Company

Salem, NH • On-site

Full-time

Posted 13 days ago

Job description

The Crosby Company is a family office responsible for wealth management and preservation for multiple branches and generations of a single family. The Crosby Company provides middle and back office services to various individual businesses including Curatorial, Foundations, Investments, Trust, Tax and Private Real Estate.

The Crosby Company of New Hampshire (CCNH) Technology team is a trusted service provider and strategic partner to CCNH and its business leaders. Team members possess a deep understanding of enterprise business processes, maintain strong relationships with key stakeholders across the organization, and demonstrate the ability to operate at both strategic and tactical levels.

The Lead Business Analytics, Insights & AI role is a senior-level position responsible for defining, establishing, and executing CCNH’s enterprise data insights strategy. This role will lead the adoption and effective use of a new enterprise data lake built on Microsoft Fabric, ensuring high-quality, trusted, and well-governed data is used consistently across five core business departments.

This role will champion a data-driven culture by enabling advanced analytics, self-service reporting, and actionable insights that improve decision-making, operational efficiency, and strategic outcomes. The Lead Business Analytics & Insights professional will manage a small team of data and reporting analysts, providing technical leadership, coaching, and direction while serving as a key advisor to business and technology leadership.

Successful candidate in this role will be chartered to establish and scale a center of excellence (COEs) for tools like PowerBI for analytics and insights, Synapse for AI and Data Science, and frameworks for Data Lifecycle Management & Operations.

POSITION DUTIES / ACCOUNTABILITIES: Work as a leader of cross-functional technology and business teams to deliver and mature CCNH’s enterprise analytics and insights capabilities.

  • Data & Analytics Strategy
    • Define and own the enterprise data insights strategy, aligning analytics initiatives with business priorities across five departments.
    • Establish a roadmap for analytics maturity, including descriptive, diagnostic, predictive, and prescriptive analytics.
    • Partner with business leaders to translate strategic objectives into measurable analytics use cases.
  • Microsoft Fabric & Data Lake Adoption
    • Lead adoption of the Microsoft Fabric data platform, ensuring consistent design patterns, best practices, and scalable architecture.
    • Oversee integration of structured and unstructured data sources into the enterprise data lake.
    • Ensure semantic models and data products are designed to support enterprise reporting, analytics, and self-service consumption
  • Data Quality, Governance & Trust
    • Champion the use of high-quality, trusted data across the organization.
    • Partner with data governance stakeholders to define and enforce standards related to data quality, lineage, security, and access.
    • Establish data quality monitoring, validation, and remediation practices.
    • Promote consistent definitions, KPIs, and metrics across departments.
  • Analytics Delivery & Enablement
    • Oversee development of executive, operational, and analytical dashboards using Power BI.
    • Enable and scale self-service analytics through governed datasets, documentation, and user enablement.
    • Serve as an analytics thought partner to business leadership, delivering insights that drive measurable business outcomes.
    • Support external audit or regulatory reviews related to analytics, reporting, and data platforms as required.
  • People Leadership & Collaboration
    • Lead, coach, and develop a small team of data and reporting analysts.
    • Set clear priorities, goals, and performance expectations for the team.
    • Foster a collaborative, continuous-learning environment focused on innovation and improvement.
    • Work closely with IT, Finance, Operations, and other business teams to ensure analytics solutions meet enterprise needs.

QUALIFICATIONS:

  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business Analytics, or a related field required.
  • Master’s degree preferred.
  • 8+ years of progressive experience in data analytics, business intelligence, or data platform roles.
  • 3+ years of experience in a technical or analytics leadership role, including direct people management.
  • Demonstrated experience leading enterprise analytics initiatives and data platform adoption
  • Strong expertise in modern data platforms and lakehouse architectures, with hands-on experience in Microsoft Fabric or similar cloud platforms. Familiarity with enterprise data lakes and cloud data platforms, such as Snowflake, is highly desirable.
  • Ability to guide business teams in leveraging LLMs for productivity, insights, and workflow automation.
  • Advanced experience with Power BI, including semantic modeling, performance optimization, and enterprise reporting standards.
  • Proven background in dimensional data modeling and analytics-ready data design.
  • Strong SQL skills; Python experience preferred.
  • Deep understanding of data governance, data quality management, and master/metadata concepts.
  • Ability to translate complex data into clear, actionable insights for executive and non-technical audience.
  • Experience operating in agile delivery environments (Scrum, Kanban); familiarity with Jira or similar tools preferred.
  • Demonstrated ability to influence without authority and drive adoption across multiple departments.
  • Excellent strategic thinking, problem-solving, and prioritization skills.
  • Experience working with integrated enterprise data in cross-functional teams, skillfully evaluating alternative solutions and recommending optimal approaches
  • Data modeling with Power Designer or similar tools would be a plus.
  • Ability to identify, evaluate, and prioritize AI / ML use cases across business domains (predictive analytics, decision intelligence, automation, risk detection, etc.).
  • Understanding of LLM governance, including model safety, bias detection, confidentiality controls, and appropriate enterprise use cases.
  • Results-oriented leader with a strong sense of ownership and accountability.
  • Excellent interpersonal, written, and verbal communication skills.
  • Ability to balance strategic vision with hands-on execution.
  • Comfortable navigating ambiguity and change in a fast-paced environment.
  • Strong collaboration skills and ability to build trusted partnerships across the organization.
  • High attention to detail while maintaining an enterprise-level perspective.
  • Ability and experience in establishing COEs
The Crosby Company Of New Hampshire LLC is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.