Finance Data Analyst

Finance Data Analyst

Description -

Job Summary
• This role is responsible for collecting, cleaning, preprocessing, and analysing large datasets to derive meaningful insights and actionable recommendations, create clear and effective visual representations of data using charts, graphs, and dashboards to communicate findings to business and technical audiences. By transforming raw data into actionable insights, the role empowers teams across the organization to work more efficiently and effectively.

Responsibilities

• Participates as a member of team of SME’s and data model owners carrying out the investigation, design, development, execution, and implementation of Finance BI projects to generate new insights, products

• Creates plans, data collection and analysis procedures and data insight visualizations for assigned projects.

• Conducts comprehensive financial analysis for specific functions or business units, providing valuable analytics to support key business initiatives.

• Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan

• Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback

• Identifies and drives scalable solutions for building reports, dashboards to monitor and report on operational performance metrics.

• Collaborates with cross-functional teams to understand business requirements and develop data-driven solutions.

• Prepare Documentation like Design Doc, Functional Specs etc of reporting solutions. Provides guidance and mentoring to L1 Finance BI Suppoort team and less- experienced staff members.

• Solves difficult and complex problems with a fresh perspective, demonstrating good judgment in selecting creative solutions and managing projects independently.

• Leads moderate to high complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans.

• Establishes and maintains relationships with business leaders to guide and influence decision-making.

• Supports policy and process enhancement, identifying opportunities for improved efficiency and organizational growth.

Knowledge & Skills

• Database Systems

• Data Management (Modelling, Analysis, Quality0

• Data Visualization and Dashboard

• Data Science

• Power BI

• SAP BO.

• Python (Programming Language)

• SQL (Programming Language)

Cross-Org Skills

• Effective Communication

• Results Orientation

• Learning Agility

• Digital Fluency

• Customer Centricity

Education & Experience Recommended
• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in data analytics, database management, reporting & automation or a related field

Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)

Job -

Finance

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement