WS Data Financial Analyst

Posted:
8/6/2024, 5:00:00 PM

Location(s):
Barcelona, Catalonia, Spain ⋅ Catalonia, Spain ⋅ Bucharest, Romania ⋅ Lower Silesian Voivodeship, Poland ⋅ Wrocław, Lower Silesian Voivodeship, Poland

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Data & Analytics

WS Data Financial Analyst

Description -

Job Summary
WS Finance is searching for a data enthusiast that would join our newly created WS Finance Analytics Team. If you enjoy working with data and want to solve business problems with data-driven methods, this position is for you.

Responsibilities

  • Performs moderately complex data analyses to determine trends, observe relationships, etc.

  • Automates routine analyses conducted by finance employees - conducts cost/benefit analysis, applies professional expertise to determine the best method of automation.

  • Creates data analytics tools that collect and process data from various sources and provide insights through appropriate visuals.

  • Works independently on moderate scope problems, applying professional expertise, exercising judgment, and resolving various issues.

  • Helps other team members in larger projects.

  • Acquires a comprehensive understanding of the organization's financial processes and gains proficient knowledge of the company's operations and business.

  • Establishes and maintains relationships with finance and business leaders. 

  • Develops conclusions, recommendations, and written reports, contributing proactively through research and data analysis support, and sharing knowledge to foster a knowledge management culture.

Education and Experience Required

  • Four-year or Graduate Degree in Business Administration, Economics, Finance, or any other related discipline or commensurate work experience or demonstrated competence.

  • Typically has 2-4 years of work experience, preferably in data analysis related roles.

Knowledge & Skills

  • Data analysis in Power BI (data modelling, DAX) - moderate experience required

  • Data analysis in Python pandas - nice to have

  • Understanding of ML algorithms (classification, regression, etc.) - nice to have

  • General understanding of finance (Financial Analysis, Financial Statements)


Cross-Org Skills

  • Effective Communication

  • Results Orientation

  • Learning Agility

  • Digital Fluency

  • Customer Centricity

How will we help your personal and professional development?

  • We don’t label you or your performance we look to help you grow your unique potential

  • Special annual Finance Days dedicated to innovation in the profession, directly hearing from our Chief Finance Officer and other key executives

  • Skill Champions Development program lead by passionate team members to help you learn while they learn from you as well

  • Talent management program and Learn2Lead training workshops to accelerate high-potentials career development

  • New disruptive technology introductions sessions

We love our work environment. We think you will too:

  • It’s a friendly atmosphere with supportive leaders to bring your creativity to max

  • Work-life balance support including flex-time arrangements and work from home opportunities

  • Corporate Social Responsibility initiatives to help you make an impact to communities at large

Your additional benefits package:

  • Medical package for you and your closest family

  • Life insurance package

  • Wellness program, Multisport card and free coffee, tea, sandwiches and fruit

  • Special offers from theatres and cinemas

  • HP employee product and vendors discount program

Impact & Scope
Impacts immediate team and acts as an informed team member providing analysis of information and limited project direction input.

Complexity
Responds to routine issues within established guidelines.

Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -

Finance

Schedule -

Full time

Shift -

No shift premium (Poland)

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

Hewlett Packard (HP)

Website: http://www.hp.com/

Headquarter Location: Palo Alto, California, United States

Employee Count: 10001+

Year Founded: 1939

IPO Status: Public

Last Funding Type: Post-IPO Equity

Industries: Computer ⋅ Consumer Electronics ⋅ Hardware ⋅ IT Infrastructure ⋅ Software