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Senior Manager Data Analytics information

See Bloomfield, CT salary details

$45K

$114.4K

$168.4K

How much do senior manager data analytics jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior manager data analytics in Bloomfield, CT is $114,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,400.00 and $134,900.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What job categories do people searching Senior Manager Data Analytics jobs in Bloomfield, CT look for?

The top searched job categories for Senior Manager Data Analytics jobs in Bloomfield, CT are:

What cities near Bloomfield, CT are hiring for Senior Manager Data Analytics jobs?

Cities near Bloomfield, CT with the most Senior Manager Data Analytics job openings:

Senior Manager Data Analytics jobs near you
Infographic showing various Senior Manager Data Analytics job openings in Bloomfield, CT as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $114,394 per year, or $55 per hour.

program Manager -Data Analytics

Saksoft

East Hartford, CT • On-site

Other

Posted 7 days ago

Job description

 

Seasoned Data Modernization Program Manager to lead largescale enterprise data transformation initiatives This role will drive endtoend modernization from legacy platforms eg SSIS SQL Server to modern cloudbased architectures eg Snowflake while acting as the primary interface between business stakeholders data engineering teams and leadership

Experience

15 years of experience in Data  Analytics  Data Engineering  Program Management

Proven experience managing large data modernization  migration programs

Strong experience in Insurance domain PC preferred

Exposure to AIdriven data engineering  automation frameworks

Experience transitioning programs into Managed Services MSM models

Strong program management experience multimillion programs preferred

Proven ability to manage distributed teams onshoreoffshore

Excellent stakeholder management and executive communication

Technical Skills

Strong understanding of

Snowflake data warehousing performance cost optimization

SSIS  legacy ETL platforms

Data migration frameworks and tools

Exposure to

Cloud platforms Azure  AWS

ELTETL orchestration data pipelines CICD

Data quality governance and validation frameworks

Key Responsibilities

Program Delivery  Execution

Lead endtoend delivery of data modernization programs  discovery design migration validation and stabilization

Drive execution across multiple pods and crossfunctional teams onshoreoffshore

Ensure adherence to timelines quality benchmarks and cost functions

Act as a technical mentor for teams in the program

Drive strategic conversations with the customer

Data Modernization  Architecture Oversight

Provide strong oversight on data architecture migration approach and targetstate design

Drive transformation from legacy ETL SSIS to modern cloudbased data platforms Snowflake

Ensure data quality validation reconciliation and downstream system alignment

Stakeholder  Business Engagement

Act as the primary point of contact POC for business client stakeholders and leadership

Drive requirement alignment with business domains and downstream

Lead governance forums Executive Program Reviews WSR budgeting MOC

Governance Risk  Compliance

Establish strong program governance reporting cadence and escalation management

Identify and mitigate risks related to data migration downstream integration and performance

Ensure compliance with regulatory audit and data governance standards

Practice Leadership  Solutioning

Act as data practice anchor for the account

Support solutioning estimations and SOW development for supplemental data programs

Drive standardization best practices and continuous improvement

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