Senior Product Content Analyst

📌 Core Information

🔹 Job Title: Senior Product Content Analyst

🔹 Company: AlphaSense India

🔹 Location: Bengaluru, Karnātaka, India

🔹 Job Type: On-site

🔹 Category: Software Development

🔹 Date Posted: 2025-05-19

🔹 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 understanding of entity data management and SQL to effectively analyze and resolve data discrepancies.

📋 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 high level of attention to detail, strong analytical skills, and the ability to work effectively with various teams to resolve data issues.

🎯 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: While the role requires a specific degree of experience, the ideal candidate should also possess a strong work ethic, adaptability, and a commitment to continuous learning.

💰 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) matching
• Paid time off and holidays
• Flexible work arrangements
• 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 the role, experience level, and location. Actual compensation may vary based on factors such as skills, experience, and performance.

📌 Applicant Insights

🔍 Company Context

Industry: AlphaSense operates in the Software Development industry, focusing on market intelligence and search built on proven AI. The company provides insights from a trustworthy universe of public and private content, including equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

Company Size: AlphaSense India is a part of AlphaSense, which employs over 2,000 people across offices in the U.S., U.K., Finland, India, and Singapore. As a mid-sized company, AlphaSense India offers a collaborative work environment with opportunities for growth and innovation.

Founded: AlphaSense was founded in 2011 and acquired Tegus in 2024, expanding its mission to empower professionals to make smarter decisions through AI-driven market intelligence.

Company Description:

• AlphaSense is a leading provider of market intelligence and search solutions, using AI to deliver relevant insights from a wide range of content sources.
• The company serves over 4,000 enterprise customers, including a majority of the S&P 500, and has offices in multiple countries.
• AlphaSense is committed to providing a work environment that supports, inspires, and respects all individuals, offering equal employment opportunities and reasonable accommodations for 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: http://www.alpha-sense.com

ASSUMPTION: AlphaSense India operates as a part of the larger AlphaSense organization, sharing its mission, values, and commitment to employee growth and development.

📊 Role Analysis

Career Level: This role is at the senior level, requiring a high degree of expertise and experience in entity data management and analysis.

Reporting Structure: The Senior Product Content Analyst will report directly to the Product Manager and collaborate with various teams, including engineering and external content vendors.

Work Arrangement: This is an on-site role with the ability to work a late shift to support the U.S. team. The work arrangement may include flexible hours or remote work options, depending on the company's policies and the employee's needs.

Growth Opportunities:

• Potential career progression into management or senior leadership roles within the data management or product teams.
• Opportunities to expand skills and expertise through collaboration with various teams and exposure to different aspects of the business.
• Chances to work on high-impact projects and contribute to the company's growth and success.

ASSUMPTION: The Senior Product Content Analyst role offers significant opportunities for career growth and development within the company.

🌍 Location & Work Environment

Office Type: AlphaSense India operates in a modern, collaborative office space in Bengaluru, Karnātaka, India.

Office Location(s): 24 Union Sq E, 6th Floor, New York, New York 10003, US; Itämerenkatu 3 B, 6th floor 00180 Finland, 6th Floor, Helsinki , 00180, FI; One Beacon St, 15th Floor, Boston, MA 02108, US; 1 Poultry, London, EC2R 8EJ, GB; Mindspace Road, Unit no 13, 1st floor, B wing, Paradigm Towers, Mumbai, Maharashtra 400064, IN; Baner Road, S No 288/1A/2, 6th Floor, IQS Tower Opposite Kapil Malhar, Pune, Maharashtra 411045, IN; 30 Raffles Place, Singapore , 048622, SG

Geographic Context:

• Bengaluru is the capital of the Indian state of Karnātaka and is known for its vibrant tech industry and high quality of life.
• The city offers a mix of urban and suburban living options, with a wide range of amenities and recreational activities.
• Bengaluru has a tropical savanna climate, with warm and humid weather throughout the year, and is well-connected by air, rail, and road transportation networks.

Work Schedule: The work schedule for this role is full-time, with the ability to work a late shift to support the U.S. team. The specific work hours and schedule may be flexible, depending on the company's policies and the employee's needs.

ASSUMPTION: The work environment at AlphaSense India is collaborative, innovative, and focused on employee growth and development. The company offers a modern office space and flexible work arrangements to support work-life balance.

💼 Interview & Application Insights

Typical Process:

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

Key Assessment Areas:

• Technical skills and proficiency in SQL
• Problem-solving abilities and analytical thinking
• Communication and collaboration skills
• Attention to detail and data integrity focus
• Cultural fit and alignment with AlphaSense's values

Application Tips:

• Highlight relevant experience and skills in your resume, focusing on entity data management, SQL proficiency, and problem-solving abilities.
• Tailor your cover letter to emphasize your fit for the role and your enthusiasm for AlphaSense's mission.
• Prepare for the technical assessment or case study presentation by brushing up on your SQL skills and practicing data analysis problems.
• Research AlphaSense and the role thoroughly to demonstrate your understanding and preparation for the interview.

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

ASSUMPTION: The application process for the Senior Product Content Analyst role at AlphaSense India is competitive, and candidates should be prepared to demonstrate their skills and qualifications throughout the interview process.

🛠️ Tools & Technologies

• SQL
• ClickHouse (optional)
• Google Suite
• Excel
• Data visualization tools (e.g., Tableau, Power BI)

ASSUMPTION: The Senior Product Content Analyst role requires proficiency in SQL and familiarity with big data technologies like ClickHouse. The ideal candidate should also be comfortable using Google Suite and Excel for data analysis and reporting.

👔 Cultural Fit Considerations

Company Values:

• Integrity: Upholding the highest ethical standards in all aspects of our work
• Collaboration: Working together to achieve common goals and drive success
• Innovation: Embracing continuous learning and improvement
• Excellence: Striving for the highest quality in our products, services, and processes
• Accountability: Taking responsibility for our actions and their outcomes

Work Style:

• Data-driven: Making decisions based on evidence and analysis
• Adaptable: Embracing change and finding creative solutions to challenges
• Detail-oriented: Focusing on accuracy and precision in our work
• Collaborative: Working effectively with various teams to achieve common goals
• Continuously learning: Pursuing personal and professional growth opportunities

Self-Assessment Questions:

• Do I possess strong SQL skills and experience working with large-scale entity or financial data?
• Am I comfortable working in a collaborative, data-driven environment and making decisions based on evidence and analysis?
• Can I effectively communicate findings and propose strategic data integrity improvements to internal stakeholders?
• Am I adaptable and able to work effectively in a dynamic, fast-paced environment?
• Do I have a strong attention to detail and a commitment to data integrity?

ASSUMPTION: The ideal candidate for the Senior Product Content Analyst role at AlphaSense India should possess a strong cultural fit, with a focus on integrity, collaboration, innovation, excellence, and accountability. They should also be adaptable, detail-oriented, and committed to continuous learning and improvement.

⚠️ Potential Challenges

• Working with large and complex datasets may require significant time and effort to identify and resolve data discrepancies.
• The role may involve tight deadlines and pressure to deliver high-quality results in a fast-paced environment.
• Collaborating with various teams and external vendors may present communication and coordination challenges.
• The work arrangement may require flexible hours or working late shifts to support the U.S. team.
• The role may require occasional travel to other AlphaSense offices or client sites.

ASSUMPTION: The Senior Product Content Analyst role at AlphaSense India presents unique challenges and opportunities for growth and development. The ideal candidate should be prepared to tackle these challenges head-on and contribute to the company's success.

📈 Similar Roles Comparison

• Compared to related roles, such as Data Analyst or Data Engineer, the Senior Product Content Analyst role places a greater emphasis on entity data management, data integrity, and collaboration with various teams to resolve data issues.
• In the Software Development industry, this role is unique in its focus on entity resolution, corporate hierarchies, and legal identifiers, requiring a strong understanding of these concepts to be successful.
• Career progression in this role may lead to management or senior leadership positions within the data management or product teams, offering opportunities for growth and development within the company.

ASSUMPTION: The Senior Product Content Analyst role at AlphaSense India is distinct from related roles in its focus on entity data management and collaboration with various teams to resolve data issues. The ideal candidate should possess a strong understanding of these aspects and be prepared to contribute to the company's success.

📝 Sample Projects

• Conducting a comprehensive review of AlphaSense's entity reference data and identifying opportunities for improvement and optimization.
• Developing and implementing a data validation process to ensure the accuracy and consistency of entity data across multiple vendor sources.
• Collaborating with the product team to design and implement a new entity resolution system, improving the efficiency and effectiveness of data management processes.

ASSUMPTION: The Senior Product Content Analyst role at AlphaSense India offers a wide range of projects and initiatives, allowing the ideal candidate to contribute to the company's growth and success in meaningful ways.

❓ Key Questions to Ask During Interview

• Can you describe the current state of AlphaSense's entity reference data and the priorities for improvement and optimization?
• How does the product team collaborate with data management teams to ensure data changes align with system requirements and business logic?
• What opportunities are there for career growth and development within the data management or product teams at AlphaSense India?
• How does AlphaSense support work-life balance and employee well-being, particularly for roles with flexible work arrangements or late shifts?
• What are the most significant challenges facing the data management team, and how can this role contribute to addressing them?

ASSUMPTION: Asking thoughtful and insightful questions during the interview process demonstrates the candidate's interest in the role and commitment to contributing to AlphaSense's success.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through AlphaSense's Careers page
• Tailor your resume to highlight your relevant experience and skills, focusing on entity data management, SQL proficiency, and problem-solving abilities.
• Write a cover letter emphasizing your fit for the role and your enthusiasm for AlphaSense's mission.
• Prepare for the technical assessment or case study presentation by brushing up on your SQL skills and practicing data analysis problems.
• Research AlphaSense and the role thoroughly to demonstrate your understanding and preparation for the interview.
• Follow up with the hiring manager or HR department one week after submitting your application to inquire about the status of your application.

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