Marketing Analytics Lead

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Marketing Analytics Lead

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal

Position Overview:

Fractal is looking for a proactive and driven Marketing Analytics Lead to join our Decision Science Consulting team in the Greater New York area. In this role, you will play a vital role as the client and team lead with hands-on involvement in project management, business interpretation and application of solutions, client communication, insights/results delivery. You will collaborate with your team and peers by developing resourcing plans, managing revenue goals, and contributing to new business development.

S/He will be expected to deliver an analytics engagement at client location independently. This will include problem solving, hypothesis testing, advanced analysis, creating models & solutions and compelling visualizations to make the solutions scalable and easily understood Marketing Analytics Lead will collaboratively work along with senior engagement managers & lead a team of analysts and data scientists across the globe.

Responsibilities:

• Driving Business strategy: You will provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist. You will be critical to decision-making

• Identifying opportunities and influencing partners to act: You will partner with eCommerce and Digital Marketing leaders to provide key marketing insights and influence strategic decisions. You will collaborate with stakeholders and analysts to ensure reporting solutions are scalable, repeatable, effective, and meet expectations of various leaders

• Be the Dot Connector:  Using multitude of data source, you will connect the dots across multiple problems to see the larger picture that helps shape analyses and findings that drive longer term solutions than just answering short term questions

• Be the Analytics Translator: You will define, implement and standardize metrics, reports and dashboards whilst focusing on the insights. You will work with Advance Data Science teams to bring rigor and robustness in approach and translate them into meaningful insights, tools and value for the Business

• Test and Learn culture:  Build out a constant stream of Testing and experimentation by identifying opportunities and influencing key stakeholders, whilst using the learnings into forward looking planning applications.

Qualifications:

• Bachelors or equivalent experience in Statistics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master’s Degree preferred

• 8+ years of experience working within performance marketing analytics, web analytics, eCommerce or digital marketing

• Highly proficient in SQL, Tableau, and Excel with experience in Product Analytics Tools (Adobe Analytics, Google Analytics)

• Experience in programming languages and stats packages (e.g. Python, R); experience in experiment design, causal inference and CLTV development

• Strong understanding of eCommerce fundamentals and drivers of Traffic, Conversion and Revenue.

• Foundational understanding of Digital Marketing programs not limited to SEO, PPC, Programmatic Display/Video, Social and Affiliates.

• Experience in driving end to end measurement programs and campaigns including measuring effectiveness, ROI and Efficiency

• Strong fluency in translating complex data into crisp insights, actions and recommendations

• Ability to influence business decisions and utilizing data at the leadership level

• Excellent problem-solving skills and end-to-end quantitative thinking

• Ability to manage multiple projects simultaneously to meet objectives and key deadlines

• Outstanding communications skills with both technical and non-technical leaders