Find & Apply For Analytics Manager Jobs In Merrimack, New Hampshire

Analytics Manager positions in Merrimack, New Hampshire involve overseeing data analysis, developing strategies, and implementing tools to optimize business performance. Responsibilities include managing a team, interpreting data, and identifying trends to drive decision-making. Strong analytical skills, leadership abilities, and experience with data analytics tools are essential. Below you can find different Analytics Manager positions in Merrimack, New Hampshire.

Jobs in Merrimack

Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.

Latest Jobs in Merrimack

Salary Information & Job Trends In this Region

The Analytics Manager in Merrimack, New Hampshire oversees data analysis and interpretation to drive strategic decision-making within organizations. - Entry-level Data Analyst salaries range from $55,000 to $70,000 per year - Mid-career Analytics Manager salaries range from $80,000 to $100,000 per year - Senior-level Director of Analytics salaries range from $120,000 to $150,000 per year The role of Analytics Manager in Merrimack, New Hampshire has a rich history dating back to the early days of data collection and analysis in business operations. As technology advanced, the need for skilled professionals in data interpretation grew, leading to the establishment of dedicated analytics departments within companies. Over time, the Analytics Manager position in Merrimack, New Hampshire has evolved to encompass not only data analysis but also predictive modeling, data visualization, and strategic planning based on data insights. The role now requires a combination of technical skills, business acumen, and communication abilities to effectively leverage data for organizational success. Current trends in the field of Analytics Manager in Merrimack, New Hampshire include the use of artificial intelligence and machine learning algorithms to automate data analysis processes, the integration of big data analytics for more comprehensive insights, and the emphasis on data privacy and security in light of increasing regulations. Staying abreast of the latest technologies and methodologies is crucial for professionals in this role to remain competitive in the ever-evolving landscape of data analytics.

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