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Analytics Director information

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$67.5K

$150.4K

$232.6K

How much do analytics director jobs pay per year?

As of Aug 13, 2026, the average yearly pay for analytics director in Connecticut is $150,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $171,200.00 per year, depending on experience, location, and employer.

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

To thrive as an Analytics Director, you need strong analytical abilities, expertise in statistical methods, advanced data modeling, and typically a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and experience with big data systems are common requirements. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional projects and translate complex data into actionable insights for stakeholders. These skills and qualities are essential to effectively lead analytics teams, influence business decisions, and deliver measurable value to the organization.

What does an analytics director do?

An Analytics Director leads a team responsible for analyzing data to inform business decisions and strategies. They oversee the collection, interpretation, and communication of data insights across departments, ensuring data-driven decision-making. Their role often includes developing analytics frameworks, managing data teams, setting key performance indicators, and collaborating with leadership to align analytics initiatives with organizational goals. Additionally, Analytics Directors help implement data governance policies and ensure analytics tools and techniques are effectively utilized.

What are some common challenges faced by an analytics director and how can they be addressed?

Analytics Directors often encounter challenges such as aligning analytics initiatives with overall business goals, managing and integrating data from multiple sources, and communicating complex findings to non-technical stakeholders. To address these, it's important to foster close collaboration with business leaders, invest in scalable data infrastructure, and develop strong communication skills within the analytics team. Building a culture of data-driven decision-making and continuous learning also helps overcome these obstacles and ensures the analytics function delivers real value.

What is the difference between Analytics Director vs Data Scientist?

AspectAnalytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Business, Analytics, or related fields; often prefers experience over certificationsBachelor's or Master's in Computer Science, Statistics, or related fields; may have certifications like Certified Analytics Professional
Work EnvironmentLeads analytics teams, collaborates with executives, oversees strategyAnalyzes data, builds models, and develops algorithms, often working independently or in small teams
Employer & Industry UsageCommon in corporate, finance, marketing, and consulting firmsFound in tech companies, research institutions, and data-driven industries

The Analytics Director focuses on leading analytics strategies and managing teams, while Data Scientists primarily analyze data and develop models. Both roles require strong analytical skills, but the Director has a broader leadership and strategic focus.

What does an analytics director do?

An analytics director oversees the data analytics and data warehousing departments at a company. As an analytics director, you take the lead on all data analytics systems and ensure your department aligns with the company’s priorities. You research and develop strategies to improve the analytics of your company. You collaborate with your team along with other members of your company’s senior leadership to influence data capabilities and competencies in the company. Your responsibilities include adopting appropriate tools and software to drive innovation. Other duties include staying informed on the latest industry trends in data analytics.

More about Analytics Director jobs
What are the most commonly searched types of Analytics jobs in Connecticut? The most popular types of Analytics jobs in Connecticut are:
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What job categories do people searching Analytics Director jobs in Connecticut look for? The top searched job categories for Analytics Director jobs in Connecticut are:
What cities in Connecticut are hiring for Analytics Director jobs? Cities in Connecticut with the most Analytics Director job openings:
What are popular job titles related to Analytics Director jobs in CT? For Analytics Director jobs in CT, the most frequently searched job titles are:
Analytics Director jobs near you
Infographic showing various Analytics Director job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $150,414 per year, or $72.3 per hour.

Director, Insights & Analytics

Mediassociates

Sandy Hook, CT • On-site

Full-time

Re-posted yesterday

Job description

Overview:
Mediassociates is a leading independent media planning, buying and analytics agency located in the greater NYC Metro Area, dedicated to proactively guiding clients through the ongoing revolution in media and technology to achieve better business results. Our growth has been built on having a transparent data lens that measures the impact of advertising on our clients' business.
Job Description:
Mediassociates is seeking an Insights & Analytics Director to serve as a senior, client-facing analytics leader with deep expertise in Marketing Mix Modeling (MMM), performance analytics, and strategic storytelling. This individual will play a critical role in interpreting MMM outputs, translating complex modeling and performance results into actionable business recommendations, and delivering polished, executive-ready presentations.
This role will support 4-6 MMM engagements annually, with the opportunity to scale MMM capabilities across the broader client portfolio. In addition, the position will support ongoing client performance reporting and insight development, helping translate campaign results into clear strategic guidance for both clients and internal teams. The ideal candidate combines technical fluency in MMM methodologies with strong commercial acumen, presentation skills, and the ability to identify growth opportunities within existing accounts.
The position operates within a matrixed analytics environment. The individual will work closely with offshore modeling teams, internal analysts, planners, and account teams to bring MMM and performance insights to life. A key component of the role will include training and enabling broader agency teams to effectively understand and deliver MMM-driven insights so that analytics capabilities can scale across the organization.
Roles & Responsibilities:
  • Serve as the primary client-facing lead for Marketing Mix Modeling engagements, including insights development, storytelling, and executive presentations.
  • Work with our media planning and buying teams to translate MMM results (saturation curves, sales drivers, scenario planning outputs, etc.) into clear business implications and media investment strategies.
  • Partner with internal analytics and offshore modeling teams to ensure model integrity, proper interpretation, and quality control.
  • Develop client-ready presentations for MMM, QBRs, brand lift studies, forecasting initiatives, and other performance reporting needs.
  • Operate effectively within a matrixed team environment, partnering with Account, Planning, Activation, and Technology teams to integrate MMM insights into media planning and optimization.
  • Train and mentor internal teams on how to interpret MMM results and incorporate insights into strategic recommendations and client communications.
  • Identify cross-sell and upsell opportunities tied to measurement and advanced analytics services.
  • Support expansion of MMM capability across additional clients, including scoping and proposal development.
  • Establish best practices for insight storytelling and standardized MMM presentation frameworks.
  • Contribute to agency thought leadership around measurement and ROI-driven media strategy.

Skills & Experience:
  • 10+ years of experience in marketing analytics, media measurement, or related analytical roles.
  • Direct experience interpreting Marketing Mix Models (MMM) and translating outputs into strategic recommendations.
  • Strong understanding of ROI modeling, incrementality, forecasting, experimentation, and statistical concepts.
  • Proven ability to present complex analytical findings to senior stakeholders.
  • Experience building executive-level decks in PowerPoint and synthesizing data into compelling narratives.
  • Understanding of digital and offline media ecosystems.
  • Strong project management skills and ability to manage multiple client engagements.
  • Commercial mindset with experience supporting new business or analytics-driven upsell opportunities.

Our office is located in Newtown, Connecticut. While we maintain a highly flexible work culture for all, our local candidates are encouraged to use our updated office space in Sandy Hook, CT which allows you to take part in our office culture and team development that naturally occurs in office. In addition, if you need to take a break from work, there is a beautiful waterfall and serene stream just outside our front door. Candidates from outside the local area who are able to work during our core East Coast office hours, 8:30am-5:30pm ET, are encouraged to apply. Our team working remotely is invited to the office a minimum of two times per year for our Summer Party and again for the Holiday Party. Other team or client meetings may be scheduled at other times during the year.
Mediassociates is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability, protected veteran status or other characteristics protected by applicable federal, state, or local law.

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