Description As a global company that’s innovating at the speed of light, we are seeking a data/analytics engineer to join the Finance Data Office team helping our organization scale with this incredible growth. This role supports across all Finance functions, driving cross-functional process improvement, and scale to support F&S, RevOps, and several others. We are responsible for data pipelines feeding daily ops reporting companywide, monthly close throughout Finance, & quarterly earnings up to Investor Relations.The ideal candidate will have SQL expertise in data & analytics engineering and automation, with hands-on experience with long and wide data sets. The candidate is expected to bring new ideas on improving processes and additional technologies we can use as a data organization. The candidate will be in dbtCloud and Snowflake managing and building a variety of key datasets. Also, as the data landscape evolves, you’ll be responsible for migrating various parts of our data ecosystem. Finally, you will have the opportunity to build relationships with a range of talented teams and work with amazing individuals by collaborating to deliver measurable business impact. This role is hybrid and will work out of the Indianapolis or Atlanta office 3 days a week.Responsibilities:Landing and wrangling large data sets using Salesforce, SQL/Snowflake, and Python to identify, quantify and monitor financial and/or operational risks in financial and companywide processesManaging and building complex multi-source data sets while ensuring refresh accuracy and timelinessMigrating and rebuilding data infrastructure from an evolving tool landscapeConduct end to end testing, auditing ELT pipelines/data curations to improve the runtime, accuracy, efficiency, and cost. Develop and refine data curations to eliminate manual workCollect and translate business requests into documented requirements and scalable data modelsCollaborate with multiple stakeholders and personas to define KPIs, align on approaches, and audit data results ensuring we provide holistic completeness and accuracyOur organization is embedded within Finance, as such we are expected to broadly understand the processes, goals, and strategies to help operators overcome data limitations, get to insight faster, provide time savings, and other forms of ROIMinimum Qualifications:5+ yrs of hands-on experience in Operations, Finance, and Data Management in analytics, reporting, data analysis and aggregationAdvanced in SQL authoring, editing and optimization (test will be administered)API calls knowledge with Python, VM, Airflow, Alteryx, and experience transforming data with dbtKnowledgeable of Data Science and statistical techniquesHands-on large company experience in managing data integrations and data pipelinesHands-on large company experience in building new processes in an undefined environmentAbility to connect the data between business processesCreative in approaches to problem solvingKnowledge and understanding of data governancePassion and love for data/new technology is a must, as well as understanding industry trendsExcellent verbal and written communication skillsCertifications: SnowPro Specialty (Snowpark); Python for ETL/ELTPreferred Qualifications7+ yrs of hands-on experience in Operations, Finance, and Data Management in analytics, reporting, data analysis and aggregation4+ yrs experience in advanced SQL authoring, editing and optimization with tools like Snowflake, SQL Developer, MySQL, dbt/dbtCloudMaking API calls to integrated systems, such as: Salesforce, Coupa, Workday, Concur, Hyperion, Slack, etc2+ yrs Data Science relevant work experience: Machine Learning, Natural Language Processing, Predictive models, and Time SeriesHands-on large company experience in managing data integrations and data pipelines across an entire business unitComfortable building end-to-end processes from scratch, in an undefined environmentAbility to “connect the dots” between business process, business outcomes, transformation, and dataCreative problem-solver who can adapt themselves and enjoys working in an ever-changing environmentUnderstanding the importance of data governance and managing data sets in a tool like AlationPassion and love for data/new technology, proactively bringing new ideas and technologies forwardEffectively communicate to business partners in unambiguous, non-technical termsCertifications: SnowPro Advanced (Architect/Data Engineer); dbt Analytics Engineering; Python for ETL/ELTWe have a public-facing website https://salesforcebenefits.com/ that explains our various benefits, including medical, dental, 401k, ESPP, generous parental leave, adoption assistance, fertility benefits, and more. Visit for the full breakdown!