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Analytics Engineer Jobs in Manchester, CT (NOW HIRING)

Lancesoft

Data Analytics Engineer

Springfield, MA · On-site

$80 - $85/hr

G., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight generation, and experimentationwhile operating within established security and data governance controls.

GKN Aerospace

Engineer - Analysis

Newington, CT · On-site

Job Summary As an Analysis Engineer (Solid Mechanics), you will work in cross-discipline teams within different projects. Your everyday tasks will be to work within the US Design Engineering team on ...

TecTammina

Text Analytics

Hartford, CT

Good understanding and implementation of graph analytics and graph algorithm. Experience with Big Data execution using Hadoop / Horton Works. Experience with text mining using GATE or UIMA. Good ...

GKN Aerospace Careers

Engineer - Analysis

Newington, CT · Hybrid

Job Summary As an Analysis Engineer (Solid Mechanics), you will work in cross-discipline teams within different projects. Your everyday tasks will be to work within the US Design Engineering team on ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Pwc

Data Engineer - Senior Associate

Hartford, CT

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

GenAI Python Systems Engineer-Manager

Hartford, CT · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

NGA AI Engineer Manager

Hartford, CT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Manchester, CT

Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What job categories do people searching Analytics Engineer jobs in Manchester, CT look for? The top searched job categories for Analytics Engineer jobs in Manchester, CT are:
What cities near Manchester, CT are hiring for Analytics Engineer jobs? Cities near Manchester, CT with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Manchester, CT as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Data Analytics Engineer

Lancesoft

Springfield, MA • On-site

$80 - $85/hr

Temporary

Posted 15 days ago

Job description


Key responsibilities include:
  • Partner with Cybersecurity leaders, risk stakeholders, and nonCyber teams to define and deliver datadriven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.G., NIST CSF).
  • Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights.
  • Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust.
  • Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and frontline Cyber teams.
  • Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability.
  • Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support.
  • Leverage AIassisted development and analytics workflows (e.G., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight generation, and experimentationwhile operating within established security and data governance controls.
  • Translate complex technical findings into clear, consumable narratives for executive and nontechnical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes.
  • Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and futurestate analytics capabilities.
Minimum Qualifications:
  • Bachelor's degree in a relevant field (e.G., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience).
  • 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep handson experience in data engineering, analytics, or data architecture.
  • Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns.
  • Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies.
  • Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.G., vulnerabilities, threats, controls, risk).
  • Strong coding proficiency (e.G., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases.
  • Experience collaborating closely with data engineering, platform, and architecture teams to ensure longterm operability and support.
Preferred Qualifications:
  • Cybersecurity certifications (e.G., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience).
  • Demonstrated experience applying advanced analytics techniques (e.G., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems.
  • Experience incorporating or experimenting with AIenabled analytics or development tools (e.G., Claude, AI code assistants, agentbased analytics) in a secure enterprise environment.
  • Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices.
  • Strong proficiency with data visualization and BI tools (e.G., Tableau, Power BI) to deliver executiveready, actionable insights.
  • Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE ATT&CK.
  • Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms.
  • Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities.
  • Track record of leading or delivering endtoend data and analytics initiatives that materially improved Cyber risk management, visibility, or decisionmaking.
  • Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and nontechnical audiences.
Education:
  • Bachelor's degree

Meet Your Recruiter
Rahul Rana-Amar
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

Social media

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