Senior Product Content Analyst

📌 Core Information

🔹 Job Title: Senior Product Content Analyst

🔹 Company: AlphaSense India

🔹 Location: Pune, 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 strong background in data analysis and management, with a focus on entity data and financial data. The ideal candidate will have experience working with large-scale data and be comfortable using SQL to extract and analyze data.

📋 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: The responsibilities listed above are essential for maintaining the quality and integrity of AlphaSense’s entity reference data. The ideal candidate will have experience in data analysis and management, with a focus on entity data and financial data.

🎯 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: The required qualifications listed above are essential for success in this role. The ideal candidate will have a strong background in data analysis and management, with a focus on entity data and financial data. They will also have excellent communication skills and be able to work effectively in a team environment.

💰 Compensation & Benefits

Salary Range: The salary range for this position is not provided. However, based on industry standards for a Senior Product Content Analyst in Pune, India, with 5-7 years of experience, the estimated salary range is ₹25-35 lakhs per annum.

Benefits:

• Health, dental, and vision insurance
• 401(k) matching
• Paid time off (vacation, sick, and holidays)
• Employee assistance program
• Professional development opportunities

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

ASSUMPTION: The salary range provided is an estimate based on industry standards for this role and location. The actual salary range may vary depending on the candidate’s qualifications and experience.

📌 Applicant Insights

🔍 Company Context

Industry: Software Development

Company Size: 1,001-5,000 employees

Founded: 2011

Company Description:

• AlphaSense is a leading provider of market intelligence and search solutions, built on proven AI technology
• The company offers a comprehensive universe of public and private content, including equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content
• AlphaSense is trusted by over 4,000 enterprise customers, including a majority of the S&P 500, and has offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland

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 software development industry, with a strong focus on market intelligence and search solutions. The company’s comprehensive universe of content and trusted customer base make it a strong competitor in the market.

📊 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 the ability to work a late shift to support the U.S. team

Growth Opportunities:

• Potential for career advancement within the data management or product teams
• Opportunities to mentor junior analysts and contribute to process improvements
• Chance to work on high-impact projects and collaborate with cross-functional teams

ASSUMPTION: This role offers significant opportunities for career growth and development within the data management or product teams. The ideal candidate will be motivated to take on new challenges and contribute to the company’s success.

🌍 Location & Work Environment

Office Type: Corporate office

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 population of over 3 million
• The city is known for its educational institutions, IT industry, and manufacturing sector
• Pune has a tropical savanna climate, with warm and humid weather throughout the year

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

ASSUMPTION: Pune offers a vibrant and dynamic work environment, with a strong focus on education and technology. The city’s tropical savanna climate may be a consideration for some applicants.

💼 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 experience with large-scale entity or financial data
• Problem-solving skills and ability to conduct root-cause analysis
• Communication skills, both written and verbal
• Cultural fit and alignment with AlphaSense’s values and mission

Application Tips:

• Tailor your resume and cover letter to highlight your relevant experience and skills for this role
• Include specific examples of your experience with data analysis, management, and problem-solving
• Demonstrate your understanding of AlphaSense’s business and the role of entity reference data in the company’s success

ATS Keywords: SQL, data integrity, data analysis, entity data, financial data, problem-solving, communication, Google Suite, Excel, big data technologies, root-cause analysis

ASSUMPTION: The application process for this role is typical for a mid-level to senior position in the software development industry. The key assessment areas and application tips provided are designed to help applicants prepare for the interview and increase their chances of success.

🛠️ Tools & Technologies

• SQL
• Google Suite (Google Docs, Sheets, Slides)
• Excel
• ClickHouse (optional)

ASSUMPTION: The tools and technologies listed above are commonly used in data analysis and management roles. The ideal candidate will have experience with SQL and Google Suite, and may have experience with ClickHouse or similar big data environments.

👔 Cultural Fit Considerations

Company Values:

• Integrity: We act with honesty and transparency in all our interactions
• Collaboration: We work together to achieve our goals
• Innovation: We continuously seek new and better ways to solve problems
• Excellence: We strive for the highest standards in all our work
• Accountability: We take responsibility for our actions and their outcomes

Work Style:

• Data-driven: We make decisions based on data and evidence
• Results-oriented: We focus on delivering meaningful outcomes
• Adaptable: We embrace change and are open to new ideas
• Team-focused: We prioritize the success of the team over individual achievements
• Customer-centric: We put the needs of our customers at the center of everything we do

Self-Assessment Questions:

• Do you have experience working with large-scale entity or financial data?
• Are you comfortable using SQL to analyze and extract data for insights?
• Can you effectively communicate findings and recommend data integrity improvements to internal stakeholders?
• Do you have experience working in a team environment and collaborating with cross-functional teams?
• Are you able to work a late shift to support the U.S. team?

ASSUMPTION: AlphaSense values integrity, collaboration, innovation, excellence, and accountability in its work environment. The ideal candidate will be data-driven, results-oriented, adaptable, team-focused, and customer-centric in their approach to work.

⚠️ Potential Challenges

• Working with large-scale data can be complex and time-consuming
• The role may require working a late shift to support the U.S. team
• The pace of work may be fast, with tight deadlines and high expectations
• The role may require occasional travel to other AlphaSense offices

ASSUMPTION: The potential challenges listed above are common to data analysis and management roles, particularly in a fast-paced and dynamic work environment like AlphaSense. The ideal candidate will be able to manage their time effectively, work well under pressure, and adapt to changing priorities and demands.

📈 Similar Roles Comparison

• This role is similar to a Senior Data Analyst or Senior Data Management role in the software development industry
• However, this role has a specific focus on entity reference data and the maintenance of data integrity across multiple vendor sources
• Career paths for this role may include advancement to a Senior Manager or Director of Data Management, or transition to a more specialized role within the data management or product teams

ASSUMPTION: This role is similar to other senior data analysis and management roles in the software development industry, but with a specific focus on entity reference data and data integrity. The career path for this role may include advancement to a more senior role within the data management or product teams, or transition to a more specialized role.

📝 Sample Projects

• Conducting a root-cause analysis of duplicate LEIs in AlphaSense’s entity reference data
• Developing a recurring report to identify patterns in data discrepancies and proactively flag emerging risks
• Collaborating with the product team to design and implement a workflow enhancement for automating the entity resolution process

ASSUMPTION: The sample projects listed above are representative of the types of projects that a Senior Product Content Analyst at AlphaSense may work on. The ideal candidate will have experience with similar projects and be able to apply their skills to new and challenging data analysis and management tasks.

❓ Key Questions to Ask During Interview

• Can you describe the current state of AlphaSense’s entity reference data and the challenges facing the team?
• How does this role fit into the broader data management and product teams at AlphaSense?
• What are the key priorities for this role in the first 30-60-90 days?
• How does AlphaSense support the professional development and career growth of its employees?
• What is the work-life balance like for employees in this role?

ASSUMPTION: The key questions to ask during the interview are designed to help applicants better understand the role, the team, and the company culture. The ideal candidate will be proactive in seeking out information and asking insightful questions.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the AlphaSense careers page
• Tailor your resume and cover letter to highlight your relevant experience and skills for this role
• Prepare for the technical assessment or case study by brushing up on your SQL skills and reviewing your experience with large-scale entity or financial data
• Research AlphaSense and the role of entity reference data in the company’s success to demonstrate your understanding of the business
• Follow up with the hiring manager one week after your interview to express your continued interest in the role

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