business operations analyst
in this role you will use analytics to support strategic decision making for and performance optimization in the operations of tipti business. you should possess superior analytical skills, excellent time-management and organizational habits, and the ability to clearly communicate and present information to key stakeholders. you will work closely with our leadership to create and manage dashboards, as well as provide the ad hoc analysis and kpi reporting that drives critical decision making, and propels operational success.
your day to day
own daily and weekly analysis on operational performance and projects to continuously improve instacart’s pickup service.
develop insights that can be leveraged for gains in growth, quality, and productivity.
develop and maintain scalable, automated dashboards and reports that benchmark and track progress against key operational performance goals and initiatives.
democratize data for our operational teams to identify and execute on opportunities.
understand root causes of what impacts performance and attainment of business objectives.
help our teams define structure around our wealth of data. create new operational metrics, develop a deep understanding of how existing metrics are calculated, and ensure metrics source data is reliable and matches the needs of the business
develop models on large datasets to extract trends, measure results and outcomes, identify areas of opportunity, and predict future performance
about you
1+ years of experience in data analysis, data science, business intelligence, or similar roles
ability to write complex, efficient, and eloquent sql queries to extract data
proficiency in excel, and other tools used for data analysis, visualization, and dashboards
data-driven with a strong business acumen and focus on analytical problem solving and data manipulation
excellent written and verbal communication, and the ability to turn data into a story for our leadership and business partners
eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful business
proven ability to work independently, multi-task, and thrive in a fast-paced environment
bachelor’s degree or equivalent
nice to have
advanced degree in statistics, math, economics, engineering, computer science, or other quantitative field
experience in programming, especially with data science and visualization libraries in python or r
advanced knowledge of statistical methods
