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Job Information
Amazon Business Analyst III, Sr. Business Analyst - PAIR in Boston, Massachusetts
Description
This role will support the ADG TA organization in it's effort to ease reporting and monitor it's progression against KPI. They would lead meetings with key stakeholders, to identify the scope of the problem, identify the appropriate data sources and format and publish dashboards to solve these problems.
I am looking for someone who is willing to grow with the organization, take ownership and responsibility for the data, to understand it, deep dive problems and own the solution. You will be a key member of the team who will be responsible for assuring that the recruiting team has easy access to the data they need to drive the decisions they need to make.
This role will need to be able to work with unclear answers, changing expectations and imperfect information. You will be responsible for the data the team presents to it's stakeholders and be the savior from sending out bad data or incomplete information.
Key job responsibilities
Complete SQL queries against established databases
Format, Publish and automate Dashboards and reports against existing data tables
Ability to build automation of reports, including automated data pulls
Frequent prototyping and agile development of dashboards
Maintain data governance against dashboards that carefully records the logic of the displayed data
A day in the life
Meet with key stakeholders to understand the problem the business is trying to solve
Develop prototype dashboards in an agile environment iterating based off consumer feedback
Develop look around the corner metrics that not only identify what has happened but also warning signs for the programs future.
About the team
Data accuracy is a right, not a privilege. In the world of people analytics, the insights and analyses we provide have a direct impact on people and their livelihood. We recognize that sometimes our systems impede accuracy and in those cases we communicate the risks early and effectively. We insist on fostering a culture that rewards finding and fixing errors.Value > volume. There are no awards for the having the most appendices or the most dashboards. We are intentional about what data we provide, always ensuring it is the best data to answer the question at hand. The same is true for new development; if a solution already exists, we debate it before we duplicate it.
Consistency is key. We work with central teams, line teams, and client groups to advocate for consistent definitions of HR data. When there is not a single source of truth we push for consensus. When there is persistent disagreement, we align to the HR definitions reported at the enterprise level and continue to advocate for resolution.
Automation is more than a “nice to have”. We are ambassadors for automation because we want to free up our team’s capacity to spend more time diving deep on analysis and insights. When a business requirement is a blocker to automation, we escalate.
Adoption doesn’t happen idly. We strive to achieve 100% product adoption for all of our products, over time. We know this requires user training and product iteration based on customer feedback. We are committed to investing in those areas.
Basic Qualifications
5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
Bachelor's degree
Experience defining requirements and using data and metrics to draw business insights
Experience with Excel
Experience with SQL
Experience making business recommendations and influencing stakeholders
Preferred Qualifications
MBA
Experience with data modeling and algorithm.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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