Senior Product Content Analyst

📌 Core Information

🔹 Job Title: Senior Product Content Analyst

🔹 Company: AlphaSense India

🔹 Location: Mumbai, Maharashtra, India

🔹 Job Type: On-site

🔹 Category: Software Development

🔹 Date Posted: May 19, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: On-site

🚀 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 high level of data analysis and problem-solving skills, with a focus on driving data integrity and improving workflows. It involves working with large-scale entity or financial data and requires strong SQL skills.

📋 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 requires a strong attention to detail, excellent problem-solving skills, and the ability to communicate complex findings effectively to both technical and non-technical stakeholders.

🎯 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 is a plus
• Knowledge of ClickHouse or similar big data environments is a plus

ASSUMPTION: Candidates should have a proven track record in data analysis and management, with a strong focus on data integrity and quality. Experience with financial information and analyst workflows is highly desirable.

💰 Compensation & Benefits

Salary Range: INR 15-20 lakhs per annum (Estimated, based on industry standards for the role, experience level, and location)

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Retirement savings plan
• Employee assistance program
• Paid time off

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

ASSUMPTION: The salary range is an estimate based on industry standards for the role, experience level, and location. Actual compensation may vary based on factors such as skills, experience, and performance.

📌 Applicant Insights

🔍 Company Context

Industry: Software Development, specifically focused on market intelligence and search built on proven AI

Company Size: 1,001-5,000 employees globally, with a presence in the U.S., U.K., Finland, India, and Singapore

Founded: 2011 (Acquired Tegus in 2024)

Company Description:

• AlphaSense is how the world’s most sophisticated companies remove uncertainty from their decision-making
• Offers market intelligence and search built on proven AI, delivering relevant insights from a trustworthy universe of public and private content
• Headquartered in New York City, with over 2,000 employees 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. They offer a comprehensive range of services to their clients, with a presence in multiple countries.

📊 Role Analysis

Career Level: Senior-level position, with a focus on driving data integrity and improving workflows

Reporting Structure: This role reports directly to the Product Manager and works closely with engineering and vendor teams

Work Arrangement: On-site, with a late shift to support the U.S. team

Growth Opportunities:

• Potential to mentor junior analysts and manage content aggregation processes
• Opportunities to work on high-impact projects and drive strategic data integrity improvements
• Possibility to collaborate with cross-functional teams and gain exposure to various aspects of the business

ASSUMPTION: This role offers significant growth opportunities for the right candidate, with the potential to make a significant impact on the company’s data integrity and workflows.

🌍 Location & Work Environment

Office Type: On-site, with a late shift to support the U.S. team

Office Location(s): Mumbai, Maharashtra, India

Geographic Context:

• Mumbai is the capital city of the Indian state of Maharashtra
• It is the financial, commercial, and entertainment capital of India
• Mumbai has a tropical wet and dry climate, with hot and humid summers and mild, dry winters

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

ASSUMPTION: The late shift work arrangement allows for better collaboration with the U.S. team, ensuring that data integrity and workflow improvements are aligned with the global business needs.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screen with the HR team
• Technical interview with the Product Manager
• On-site or video final round with the team

Key Assessment Areas:

• SQL skills and data analysis abilities
• Problem-solving skills and attention to detail
• Communication skills and the ability to explain complex findings
• Cultural fit and alignment with AlphaSense’s values

Application Tips:

• Highlight relevant experience with large-scale entity or financial data and data integrity projects
• Demonstrate strong problem-solving skills and the ability to communicate complex findings effectively
• Tailor your resume and cover letter to emphasize your relevant skills and experiences

ATS Keywords: SQL, data integrity, data analysis, problem-solving, communication, entity data, financial data, workflow optimization, automation, reporting, trend analysis, collaboration, documentation, Google Suite, Excel, big data

ASSUMPTION: The interview process for this role is likely to be highly technical, with a strong focus on SQL skills and data analysis abilities. Candidates should be prepared to demonstrate their problem-solving skills and the ability to communicate complex findings effectively.

🛠️ Tools & Technologies

• SQL
• ClickHouse (optional)
• Google Suite
• Excel

ASSUMPTION: This role requires strong SQL skills and familiarity with large-scale entity or financial data. Experience with ClickHouse or similar big data environments is a plus but not required.

👔 Cultural Fit Considerations

Company Values:

• Integrity
• Collaboration
• Innovation
• Client Focus
• Accountability

Work Style:

• Data-driven and analytical
• Collaborative and team-oriented
• Fast-paced and dynamic

Self-Assessment Questions:

• Do you have strong SQL skills and experience working with large-scale entity or financial data?
• Are you comfortable working in a fast-paced, dynamic environment and collaborating with cross-functional teams?
• Do you have excellent problem-solving skills and the ability to communicate complex findings effectively?

ASSUMPTION: AlphaSense values candidates who are data-driven, analytical, and collaborative, with a strong focus on driving data integrity and quality. Candidates should be comfortable working in a fast-paced, dynamic environment and collaborating with cross-functional teams.

⚠️ Potential Challenges

• Working with large-scale entity or financial data can be complex and challenging, requiring strong problem-solving skills and attention to detail
• Collaborating with multiple vendor sources and external content vendors can be challenging, requiring strong communication and project management skills
• Working a late shift to support the U.S. team may impact work-life balance
• Mumbai has a hot and humid climate during summers, which may be challenging for some candidates

ASSUMPTION: This role presents several challenges, including working with large-scale data, collaborating with multiple vendors, and working a late shift. Candidates should be prepared to face these challenges and have strong problem-solving skills and attention to detail.

📈 Similar Roles Comparison

• This role is similar to a Senior Data Analyst or Senior Data Quality Analyst position, with a focus on driving data integrity and improving workflows
• Unlike other roles, this position requires strong SQL skills and experience working with large-scale entity or financial data
• Career progression in this role may lead to management or senior technical positions within the data management or analytics fields

ASSUMPTION: This role is similar to other senior data analyst or data quality analyst positions, with a focus on driving data integrity and improving workflows. However, it requires strong SQL skills and experience working with large-scale entity or financial data.

📝 Sample Projects

• Conducting a root-cause analysis of duplicate LEIs and proposing a solution to prevent future occurrences
• Investigating mismatched hierarchies and collaborating with external content vendors to resolve the issue
• Generating recurring reports and trend analyses to identify patterns in data discrepancies and proactively flag emerging risks

ASSUMPTION: These sample projects demonstrate the key responsibilities and required skills for this role, including data analysis, problem-solving, and collaboration with external vendors.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and how this role fits within the organization?
• What are the most challenging data issues you’ve faced in this role, and how did you address them?
• How does AlphaSense support the professional development and growth of its employees?
• What are the key priorities for this role in the first 90 days?
• How does AlphaSense ensure the security and privacy of its clients’ data?

ASSUMPTION: These key questions help candidates understand the team structure, the challenges faced by the role, the company’s commitment to employee growth, and the priorities for the first 90 days. They also address important aspects of data security and privacy.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through AlphaSense’s Careers page
• Tailor your resume and cover letter to highlight your relevant skills and experiences, with a focus on data analysis, problem-solving, and communication
• Prepare for the technical interview by brushing up on your SQL skills and practicing data analysis exercises
• Research AlphaSense and the market intelligence industry to demonstrate your understanding of the company and its products
• Follow up with the hiring manager one week after submitting your application to express your interest in the role

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