Senior Product Content Analyst

📌 Core Information

🔹 Job Title: Senior Product Content Analyst

🔹 Company: AlphaSense

🔹 Location: Pune, Mahārāshtra, India

🔹 Job Type: On-site

🔹 Category: Software Development

🔹 Date Posted: 2025-05-19

🔹 Experience Level: 5-10 years

🔹 Remote Status: No

🚀 Job Overview

Key aspects of this role include:

• Serving as a senior member for AlphaSense’s entity reference data, focusing on data quality, consistency, and integrity across multiple vendor sources.
• Conducting root-cause analysis of complex, systematic data issues such as duplicate LEIs, incorrect entity merges, or mismatched hierarchies.
• Writing and running SQL queries to investigate inconsistencies, extract relevant datasets, and provide actionable insights.
• Collaborating with product managers, engineers, and external content vendors to resolve issues and ensure data changes align with system requirements and business logic.

ASSUMPTION: This role requires a strong understanding of entity data management, SQL, and problem-solving skills to succeed in a high-volume, complex data environment.

📋 Key Responsibilities

✅ Serve as a senior member for AlphaSense’s entity reference data, focusing on data quality, consistency, and integrity across multiple vendor sources.

✅ Conduct root-cause analysis of complex, systematic data issues such as duplicate LEIs, incorrect entity merges, or mismatched hierarchies.

✅ Write and run SQL queries to investigate inconsistencies, extract relevant datasets, and provide actionable insights.

✅ Support ad-hoc data investigations to troubleshoot client-reported issues, validate vendor integrations, or inform product enhancements.

✅ Generate recurring reports and trend analyses to identify patterns in data discrepancies and proactively flag emerging risks.

✅ Recommend and support workflow enhancements, including identifying opportunities for automation and process optimization.

✅ Collaborate with product managers, engineers, and external content vendors to resolve issues and ensure data changes align with system requirements and business logic.

✅ Document investigation results, data lineage, and remediation plans to ensure transparency and traceability across teams.

✅ Communicate findings and propose strategic data integrity improvements to internal stakeholders.

✅ Stay current with industry standards related to entity resolution, corporate hierarchies, and legal identifiers (e.g., LEI, DUNS, etc.).

ASSUMPTION: This role involves a significant amount of data analysis and communication with various teams to maintain and improve data integrity.

🎯 Required Qualifications

Education: Bachelor’s Degree

Experience: 5-7 years of experience in Entity Data/Reference and data management experience

Required Skills:

• SQL proficiency (ability to query, analyze, and extract data for insights)
• Experience working with large-scale entity or financial data
• Strong problem-solving skills to track down and prevent future data inconsistencies
• Ability to communicate findings and recommend data integrity improvements
• Outstanding oral and written communication skills
• Knowledge of Google Suite and advanced excel skills
• Must be able to work a late shift to support the U.S. team

Preferred Skills:

• Experience managing content aggregation processes and mentoring junior analysts
• Familiarity with corporate entity structures and business classifications
• Knowledge of ClickHouse or similar big data environments

ASSUMPTION: Candidates should have a strong background in data management, with a focus on entity data, and be comfortable working with large datasets and various teams.

💰 Compensation & Benefits

Salary Range: INR 1,200,000 - 1,800,000 per annum (Estimated based on industry standards for the role, experience level, and location)

Benefits:

• Health, dental, and vision insurance
• 401(k) plan with company match
• Generous PTO and holiday policy
• Flexible work arrangements
• Professional development opportunities

Working Hours: Full-time, with a late shift to support the U.S. team

ASSUMPTION: The salary range is estimated based on industry standards for the role, experience level, and location. Actual compensation may vary based on qualifications and negotiation.

📌 Applicant Insights

🔍 Company Context

Industry: AlphaSense operates in the Software Development industry, focusing on market intelligence and search built on proven AI. They serve sophisticated companies by removing uncertainty from their decision-making processes.

Company Size: AlphaSense has 1,001-5,000 employees, providing a mid-sized company environment with ample opportunities for collaboration and growth.

Founded: AlphaSense was founded in 2011 and is headquartered in New York City, with offices across the globe.

Company Description:

• AlphaSense is a leading provider of market intelligence and search solutions, utilizing AI to deliver relevant insights from a trustworthy universe of public and private content.
• The company aims to empower professionals to make smarter decisions by providing access to comprehensive, reliable, and up-to-date information.
• AlphaSense serves over 4,000 enterprise customers, including a majority of the S&P 500, and employs over 2,000 people across the globe.

Company Specialties:

• Semantic search
• Investment research
• Company research
• Competitive intelligence
• Market intelligence
• Sentiment analysis
• Equity research
• Market research
• Corporate strategy

Company Website: http://www.alpha-sense.com

ASSUMPTION: AlphaSense is a well-established company in the market intelligence and search industry, with a strong focus on AI-driven solutions and a global presence.

📊 Role Analysis

Career Level: Senior-level role with opportunities for growth and leadership within the data management team.

Reporting Structure: This role reports directly to the Product Manager and collaborates with various teams, including engineering and external content vendors.

Work Arrangement: On-site, full-time position with a late shift to support the U.S. team. Flexible work arrangements may be available.

Growth Opportunities:

• Potential to mentor junior analysts and contribute to process improvements
• Opportunities to expand skills in big data technologies and advanced data analysis
• Career progression into leadership or management roles within the data management team

ASSUMPTION: This role offers significant growth potential within the data management team and opportunities to expand skills and expertise.

🌍 Location & Work Environment

Office Type: AlphaSense’s Pune office is a modern, collaborative workspace with a focus on employee comfort and productivity.

Office Location(s): Baner Road, S No 288/1A/2, 6th Floor, IQS Tower Opposite Kapil Malhar, Pune, Maharashtra 411045, India

Geographic Context:

• Pune is the second-largest city in the Indian state of Maharashtra, with a thriving IT industry and a high quality of life.
• The city offers a mix of urban and natural environments, with numerous parks, gardens, and historical sites.
• Pune has a humid subtropical climate, with warm and humid summers and mild, dry winters.

Work Schedule: Full-time, with a late shift to support the U.S. team. Flexible work arrangements may be available.

ASSUMPTION: The Pune office provides a modern, collaborative work environment with opportunities for professional growth and development.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening with the HR team
• Technical assessment or case study
• On-site or video interview with the hiring manager and team members
• Final decision and offer

Key Assessment Areas:

• Technical skills, including SQL proficiency and data analysis
• Problem-solving abilities and attention to detail
• Communication and collaboration skills
• Cultural fit and alignment with AlphaSense’s values

Application Tips:

• Highlight relevant experience and achievements in data management, entity data, and financial data
• Tailor your resume to emphasize skills and experiences relevant to the role
• Prepare for technical assessments or case studies by brushing up on SQL skills and practicing data analysis problems
• Research AlphaSense’s products, services, and company culture to demonstrate your interest and preparation

ATS Keywords: SQL, Entity Data, Data Integrity, Data Analysis, Problem Solving, Communication, Financial Data, Entity Resolution, Corporate Hierarchies, Legal Identifiers, LEI, DUNS

ASSUMPTION: The application process for this role involves a technical assessment or case study, focusing on SQL skills and data analysis abilities.

🛠️ Tools & Technologies

• SQL
• ClickHouse (a plus)
• Google Suite
• Advanced Excel
• Big data technologies (a plus)

ASSUMPTION: This role requires proficiency in SQL and familiarity with Google Suite and advanced Excel. Experience with big data technologies like ClickHouse is a plus.

👔 Cultural Fit Considerations

Company Values:

• Integrity: AlphaSense values honesty, transparency, and ethical behavior in all aspects of work
• Collaboration: The company fosters a culture of teamwork, open communication, and mutual respect
• Innovation: AlphaSense encourages creativity, continuous learning, and a passion for driving progress

Work Style:

• Data-driven: AlphaSense makes decisions based on data and insights, valuing quantitative analysis and evidence-based approaches
• Agile: The company embraces change and adapts quickly to new challenges and opportunities
• Customer-focused: AlphaSense prioritizes client needs and strives to deliver exceptional value and service

Self-Assessment Questions:

• Do you have a proven track record of identifying and resolving complex data discrepancies in high-volume environments?
• Are you comfortable working in a fast-paced, collaborative team environment, with a focus on data-driven decision-making?
• Do you possess strong communication skills and the ability to articulate complex data insights to both technical and non-technical stakeholders?

ASSUMPTION: AlphaSense values candidates who are data-driven, collaborative, and customer-focused, with a strong commitment to integrity and innovation.

⚠️ Potential Challenges

• Working a late shift to support the U.S. team may impact work-life balance
• The role requires a strong attention to detail and the ability to manage multiple data sources simultaneously
• The fast-paced nature of the role may present challenges in maintaining data integrity and consistency
• Pune’s humid subtropical climate may be uncomfortable for some individuals

ASSUMPTION: While this role offers significant growth potential, it also presents unique challenges that candidates should carefully consider.

📈 Similar Roles Comparison

• Compared to other senior data analyst roles, this position places a greater emphasis on entity data management and legal identifiers
• AlphaSense’s focus on market intelligence and AI-driven solutions sets it apart from other companies in the industry
• Career progression in this role may lead to leadership or management positions within the data management team, rather than transitioning to a different functional area

ASSUMPTION: This role offers unique opportunities and challenges compared to similar positions in the industry, with a focus on entity data management and AI-driven market intelligence.

📝 Sample Projects

• Conducting a comprehensive review of AlphaSense’s entity reference data and identifying opportunities for improvement and automation
• Developing and implementing a data validation process to ensure the accuracy and consistency of incoming data from multiple vendor sources
• Creating and maintaining reports and dashboards to monitor data quality, trends, and potential risks in real-time

ASSUMPTION: These sample projects illustrate the data analysis, problem-solving, and communication skills required for success in this role.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics within the data management team?
• How does AlphaSense support the professional development and growth of its employees?
• What are the most significant data challenges currently facing the company, and how is the team addressing them?
• How does AlphaSense ensure the accuracy and integrity of its data in a fast-paced, evolving environment?
• What are the key priorities for this role in the first 30, 60, and 90 days?

ASSUMPTION: Asking these questions will help you better understand the role, team dynamics, and company culture, enabling you to make an informed decision about the opportunity.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through AlphaSense’s Careers page
• Tailor your resume to highlight relevant experience and skills, with a focus on data management, entity data, and financial data
• Prepare a cover letter that demonstrates your interest in the role and alignment with AlphaSense’s values
• If applicable, prepare examples or a portfolio showcasing your data analysis and problem-solving skills
• Follow up with the hiring team one week after submission to inquire about your application status

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.