Collection of country specific financial reports relevant for Ownership data on a timely manner
Fixing of data errors when needed and defining country specific policies together with members of the Quality Control team
Be part of cross teams and cross-locations projects to ensure achieving our goals. Ideate and execute Process improvement projects
Collaborate with other Collection Teams, Data Management, and global teams to achieve organizational goals and promote diversity. Stay abreast of updated guidelines and policies
Deliver on predefined individual and team targets including delivering outcomes with quality and excellence
Escalating concerns on time and with correct line of communication
Work with large and complex data sets that help in data-driven decision making
Get to witness the insights you provide translating to actions and the impact it is creating
Work in a great culture that continuously empowers you to grow in your career
Enjoy the freedom to experiment & learn from mistakes (Fail Fast, Learn Faster)
Become a key stakeholder in the transformation journeys of thousands of users
Working with stakeholders to understand the business requirements and measure if the business efforts / activities are aligned with set goals.
Writing queries and building insightful reports / dashboards that could help make informed decisions
Analyzing root causes, identifying and recommending suitable KPIs, and generating actionable insights
Timely delivery of tasks with accuracy and attention to details
Regular reporting to senior data analysts regarding the tasks
Suggesting data collection methods for better analysis
Processing confidential data and information according to guidelines
Up skilling in analytics and data management tools, formulating and documenting best practices
Skills Required :
Knowledge of SQL and Python
Knowledge in any of the visualization tools such as Power BI, Tableau, Looker Studio etc.
Knowledge in one of the cloud data warehouses such as Big Query, Snowflake, or Red shift
Proficiency in statistics for analyzing data sets
Data visualization and storytelling skills
Strong analytical skills with attention to detail and accuracy
Having a systematic and logical approach to problem-solving
Willingness to learn additional analytics tools based on requirements
Flexible to extend work hours to deliver the requirements
Alignment to the company's vision and culture
Knowledge of Python and familiarity with machine learning techniques is an added advantage
(ref : hirist.tech)
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Data Analyst • India
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