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Finance BI Analyst
Bottomline
posted 18d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Perform data transformations using Python, particularly with packages such as pandas.
- Develop, maintain, and optimize data pipelines and workflows for FP&A division of Bottomline using data warehouse tools like Snowflake.
- Write complex SQL queries to extract, manipulate, and analyze data.
- Utilize advanced Excel functionalities for data analysis and reporting.
- Design and implement data models to support data warehousing and analytics.
- You will be Automating the Process related to financial performance, forecasting and budgeting using Python
- Maintaining Snowflake Datawarehouse in terms of creating the Table, View with the DDL and DML methodology
- Ensure accuracy of data for all the report by doing validation
- Translate business needs into functional requirements providing essential information on business use cases.
- Translate functional requirements into thorough and feasible data products, analytics solutions, and dynamic dashboards.
- Utilize Python, SQL, or R for data retrieval and manipulation.
- Develop, assess, and maintain data, using the SQL Scripting, ensuring data reliability and quality.
- Analyse, interpret, and visualize data to drive business process optimization and fact-based decision-making.
- Create, deploy, and maintain interactive dashboards and visualizations using Power BI.
- Perform a comprehensive analysis and proactively implement solutions to assess and enhance data quality and data reliability.
- Coaching the FP&A team members to support their development.
- Lead and mentor a team of data professionals, fostering a collaborative and productive work environment.
Required Skills and Qualifications:
- Data Engineering & Warehousing: Proficiency with data warehouse tools, specifically Snowflake.
- Python Scripting: Strong experience with Python for data transformation, especially using pandas & Jupyter.
- SQL: Advanced skills in SQL for data extraction, manipulation, and analysis.
- Data Modeling: Experience in designing and implementing data models.
- Power BI: Proficient in creating dashboards, implementing RLS, and administering Power BI workspaces.
- Business Acumen: Ability to quickly understand business requirements and convert them into technical solutions.
- Testing & Analysis: Skilled in performing testing and validation of data processes.
Preferred Qualifications:
- Experience with Alteryx.
- Knowledge of data governance and best practices in data management.
- Familiarity with other data transformation tools and languages.
Key Competencies:
- Analytical Thinking: Ability to analyze complex data and draw actionable insights.
- Problem-Solving: Proactive in identifying issues and developing effective solutions.
- Communication: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
- Project Management: Strong organizational skills and the ability to manage multiple tasks and projects simultaneously.
- Leadership: Proven track record of leading teams and driving projects to successful completion.
Employment Type: Full Time, Permanent
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What Bottomline employees are saying about work life
based on 90 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Bottomline Benefits
Submitted by Company
Group Term Life and Personal Accident Insurance 
Cafeteria Work From Home Free Food Team Outings Health Insurance
Submitted by Employees
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