Senior Product Content Analyst

📌 Core Information

🔹 Job Title: Senior Product Content Analyst

🔹 Company: AlphaSense

🔹 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 analytical and problem-solving skills, with a focus on data integrity and quality. The ideal candidate will have experience working with large-scale entity or financial data and 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
• Knowledge of ClickHouse or similar big data environments

ASSUMPTION: While the role requires a specific level of experience and skills, the company is open to considering candidates with relevant transferable skills and a strong commitment to learning and growth.

💰 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 insurance
• Retirement benefits
• Employee assistance program
• Professional development opportunities
• Flexible work arrangements

Working Hours: Full-time (40 hours per week), with a late shift to support the U.S. team

ASSUMPTION: The salary range provided 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

Company Size: 1,001-5,000 employees

Founded: 2011

Company Description:

• AlphaSense is a market intelligence platform that uses AI to deliver relevant insights from a trustworthy universe of public and private content.
• The company serves sophisticated clients, including a majority of the S&P 500, and has offices in the U.S., U.K., Finland, India, and Singapore.
• AlphaSense is committed to equal employment opportunity and provides reasonable accommodations to qualified employees with disabilities.

Company Specialties:

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

Company Website: www.alpha-sense.com

ASSUMPTION: AlphaSense is a well-established company in the market intelligence space, with a strong focus on using AI to deliver relevant insights to its clients.

📊 Role Analysis

Career Level: Mid-level to senior

Reporting Structure: This role reports directly to the Product Manager for Entity Data

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

Growth Opportunities:

• Potential to take on more responsibilities and mentor junior analysts
• Opportunities to work on high-impact projects and drive strategic data integrity improvements
• Chance 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 meaningful impact on the company's data integrity and quality.

🌍 Location & Work Environment

Office Type: On-site

Office Location(s): Mumbai, Maharashtra, India

Geographic Context:

• Mumbai is the capital city of the Indian state of Maharashtra and is the financial, commercial, and entertainment capital of India.
• The city has a tropical wet and dry climate, with hot and humid summers and mild, dry winters.
• Mumbai is well-connected by air, rail, and road, with two international airports serving the city.

Work Schedule: Full-time (40 hours per week), with a late shift to support the U.S. team

ASSUMPTION: The late shift requirement for this role may be challenging for some candidates, but it offers the opportunity to collaborate with the U.S. team and gain exposure to different time zones.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screen with the HR team
• Technical assessment or case study
• Final round interview with the hiring manager and/or team members

Key Assessment Areas:

• Technical skills, including SQL proficiency and experience with large-scale entity or financial data
• Problem-solving skills and ability to conduct root-cause analysis
• Communication skills and ability to articulate complex findings effectively
• Cultural fit and alignment with AlphaSense's values and work environment

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences for this role
• Prepare for technical assessments or case studies by brushing up on your SQL skills and practicing data analysis exercises
• Research AlphaSense's products, services, and industry to demonstrate your understanding of the company and its market

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

ASSUMPTION: AlphaSense uses an Applicant Tracking System (ATS) to manage job applications, and including relevant keywords in your resume can help your application get noticed.

🛠️ Tools & Technologies

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

ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role, with ClickHouse being 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
• Adaptable and open to feedback
• Results-focused and proactive
• Committed to continuous learning and improvement

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, collaborative environment and adapting to feedback?
• Do you have excellent communication skills and the ability to articulate complex findings effectively?
• Are you committed to driving data integrity and quality, and proactive in identifying opportunities for improvement?

ASSUMPTION: AlphaSense values candidates who are strong technical fits for the role and also align with the company's values and work style.

⚠️ Potential Challenges

• Working a late shift to support the U.S. team may be challenging for some candidates
• The role requires a strong attention to detail and the ability to manage multiple data sources and vendors
• There may be a need to work on high-pressure projects with tight deadlines
• The role may require occasional travel to other AlphaSense offices or client sites

ASSUMPTION: These challenges are inherent to the role and require a strong, adaptable candidate who can thrive in a fast-paced, dynamic work environment.

📈 Similar Roles Comparison

• This role is similar to a Senior Data Analyst or Senior Data Quality Analyst position in other organizations
• However, the focus on entity reference data and legal identifiers (e.g., LEI, DUNS) sets it apart from other data analysis roles
• Career progression in this role may lead to management or senior technical positions within the data management or market intelligence fields

ASSUMPTION: While this role shares similarities with other data analysis positions, its unique focus on entity reference data and legal identifiers makes it a distinct opportunity within the market intelligence industry.

📝 Sample Projects

• Conducting a comprehensive review of AlphaSense's entity reference data and identifying opportunities for improvement
• Developing and implementing a data validation process for new vendor integrations
• Creating and maintaining reports and dashboards to monitor data quality and trends over time

ASSUMPTION: These sample projects illustrate the types of tasks and responsibilities the ideal candidate might encounter in this role.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics for this role?
• How does this role fit into the broader data management and market intelligence strategy at AlphaSense?
• What are the most challenging aspects of this role, and how does the team support each other in overcoming them?
• What opportunities are there for growth and development within this role and the broader organization?
• How does AlphaSense ensure the security and privacy of its clients' data?

ASSUMPTION: These questions are designed to help you better understand the role, the team, and the company, and to demonstrate your interest and engagement in the interview process.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight relevant skills and experiences for this role
• Prepare for technical assessments or case studies by brushing up on your SQL skills and practicing data analysis exercises
• Research AlphaSense's products, services, and industry to demonstrate your understanding of the company and its market
• Follow up with the hiring manager or HR team one week after your final round interview to express your interest and reiterate your qualifications

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