Position:
Data Analyst
Company:
HP, Inc.
Location:
Bangalore, Karnataka, India
Job Type:
Full-time
Job Mode:
Onsite
Job Requisition ID:
3148486
Years of Experience:
Not explicitly mentioned; as per JD looks like a fresher entry level role; 0-3 years
Company Description:
HP Inc. is a global technology leader that continues to shape the digital landscape through innovation and cutting-edge solutions. With a legacy of technological excellence, HP provides advanced computing solutions, enterprise-grade products, and services that empower businesses worldwide.
The company thrives on fostering an inclusive workplace culture that promotes diversity, equity, and professional growth. HP is committed to driving sustainable business practices and integrating digital transformation into various industries.
As a multinational corporation, HP operates across numerous regions, offering professionals an opportunity to collaborate with talented individuals from diverse backgrounds. Its work culture emphasizes creativity, teamwork, and the continuous pursuit of excellence.
HP remains a career destination for top talent, continuously investing in research and development to deliver world-class technological advancements. Employees benefit from various professional development programs, mentorship initiatives, and a robust support network that fosters innovation.
Profile Overview:
The Data Analyst role is an integral part of HP's GTM Advanced Analytics Visualization Team, which focuses on developing high-quality visualization experiences to support business solutions.
The team is responsible for the end-to-end development, automation, and maintenance of dashboards, ensuring that stakeholders receive critical insights derived from vast amounts of data.
The role involves working in a production environment where analysts build visualizations that assist sales and marketing teams in evaluating product and partner performance.
A key aspect of the role is transforming and integrating complex datasets, sourced from multiple platforms, into actionable insights.
The position requires an analytical mindset, allowing the candidate to translate business requirements into intuitive and impactful data visualizations.
This role offers international exposure, fostering a collaborative culture where professionals work closely with business leaders to drive informed decision-making.
Responsibilities:
Data Visualization & Insights Generation:
Develop and maintain interactive dashboards that deliver high-quality insights for business decision-making.
Provide accurate and data-driven solutions to various stakeholders, ensuring they have real-time access to relevant business metrics.
Support the design, documentation, and delivery of visualization platforms that enhance data-driven strategies.
Collaboration & Agile Development:
Participate in Agile development methodologies, including Scrum-based processes, ensuring the smooth execution of analytics projects.
Work closely with cross-functional teams, including sales, marketing, and engineering, to provide customized visualization solutions.
Assist in gathering business requirements and translating them into technical specifications for dashboard design.
Data Governance & Compliance:
Ensure that all data policies, security guidelines, and quality standards are met while designing and maintaining dashboards.
Implement best practices in data governance, compliance, and visualization frameworks, aligning with industry standards.
Innovate and integrate emerging data technologies to enhance visualization capabilities and improve business intelligence operations.
Qualifications:
Core Analytical & Technical Skills:
Strong analytical and business modeling skills, with the ability to derive insights from complex datasets.
Proficiency in Power BI and DAX, enabling the creation of highly interactive dashboards.
Experience in SQL, Advanced Excel, and developing automated solutions for streamlined data processing.
Big Data & Programming Expertise:
Hands-on experience in analyzing large datasets, ensuring data accuracy and efficiency.
Expertise in Python programming, with a focus on data manipulation and automation.
Knowledge of SQL Server Integration Services (SSIS) for efficient data transformation and integration.
Experience in working with CI/CD pipelines and Git, ensuring seamless deployment of analytics solutions.
Business Acumen & Mindset:
Ability to understand business needs and translate them into effective data visualization solutions.
Strong problem-solving skills, with a growth mindset that encourages continuous learning and innovation.
Proven ability to function effectively as a team player, contributing to a collaborative work environment.
Additional Info:
Work Schedule & Benefits:
Full-time position with a standard work schedule; no shift premiums applicable for India.
No travel or relocation assistance provided for this role.
Opportunity to work in a dynamic and fast-paced environment with leading industry experts.
Diversity & Inclusion:
HP Inc. is an equal opportunity employer, committed to fostering a workplace that celebrates diversity and inclusion.
The company ensures that hiring decisions are made without discrimination based on race, gender, religion, nationality, disability, or any protected characteristic.
Employees benefit from a diverse and inclusive work culture, where talent is recognized and career growth is encouraged.
Workplace Environment & Support:
HP offers a supportive work environment where professionals can engage in continuous learning and professional development.
Employees are provided with mentorship programs, training sessions, and networking opportunities to advance their careers.
The company promotes work-life balance, ensuring employees have a fulfilling and rewarding professional journey.
Equal Employment Opportunity Policy:
HP adheres to global employment policies, ensuring fair treatment of all employees and applicants.
The company provides a confidential and non-discriminatory hiring process, encouraging professionals from all backgrounds to apply.
For more details on HP’s Equal Employment Opportunity Policy, employees and applicants can refer to official policy documents.
Please click here to apply.
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