Senior Business Data Analyst Marketing Analytics

OverviewDo you have a passion for making huge business impacts by leveraging data-driven insights?

Do you love working collaboratively in an innovative environment?

Come join Intuit where youll be empowered to do the best work of your life!

We are looking for a world class analyst to help transform customer experiences.

We have an exciting opportunity to help shape how we use data and technology to reach our customers with personalized experiences across multiple marketing touch points.

If you are an individual with excellent analytical skills and a passion for delivering data-driven insights, come join Intuits Analytics Center of Excellence.What you’ll bring3+ years of experience working with marketing analytics, web analytics, customer care analytics, or other customer experience analyticsAdvanced proficiency in SQL, A/B Testing, and Data Visualization.

Familiarity with Marketing Analytics Tools (MMM, MTA, Eloqua, Braze, etc)Experience in programming languages and stats packages (e.g.

Python, R); experience in developing and deploying machine learning models preferredExperience in defining metrics and instrumenting data trackingAbility to simplify stories with data, and be concise in the insights and how they drive outcomes with leadership and stakeholdersExcellent problem-solving skills and end-to-end quantitative thinkingAbility to manage multiple projects simultaneously to meet objectives and key deadlinesOutstanding communications skills with both technical and non-technical colleaguesProactive and inquisitive learner…

seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstancesStrong organization, time management and task prioritization skillsBachelors Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field.

Masters Degree preferredHow you will leadDriving business strategy: You will collaborate with campaign managers and design to ensure reporting solutions are scalable, repeatable, effective, and meet expectations of various stakeholders and leaders.

In addition, provide ongoing recommendations to leadership utilizing complex data, business knowledge, and strategic assumptions when data doesnt existIdentifying opportunities and influence partners to act: You will partner with a cross-functional team to develop hypotheses and experiments to leverage data and technology to deliver better outcomes for customers through deeply personalized experiences.

You will lead discussions on test strategies and marketing campaign effectiveness, as well as design and execute web experiences and marketing experiments through robust A/B testingDriving self-serve and data literacy: You will create learning and measurement plans for experiments and campaigns, define requirements for instrumentation and data collection.

You will build reports to drive discussions, facilitate decision making, and actionable insights by partnering with data engineering to scale and automate analytics on new products and initiatives

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