Senior Product Content Analyst

📌 Core Information

🔹 Job Title: Senior Product Content Analyst

🔹 Company: AlphaSense

🔹 Location: Delhi, 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 steward for AlphaSense’s entity reference data, focusing on data quality, consistency, and integrity.
• Conducting root-cause analysis of complex, systematic data issues and driving data integrity improvements.
• Collaborating with cross-functional teams to resolve data issues and enhance data quality and efficiency.
• Staying current with industry standards related to entity resolution, corporate hierarchies, and legal identifiers.

ASSUMPTION: This role requires a high level of data analysis and problem-solving skills, with a focus on driving data quality improvements across multiple vendor sources.

📋 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 understanding of entity data and reference data management, with the ability to analyze and communicate complex data issues effectively.

🎯 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 with experience in financial information and analyst workflows may find this role particularly suitable.

💰 Compensation & Benefits

Salary Range: INR 1,200,000 - 1,800,000 per annum (Estimated based on industry standards for similar roles and experience levels in Delhi)

Benefits:

• Health, dental, and vision insurance
• Retirement savings plan with company match
• Generous time off and flexible work arrangements
• Employee stock options
• 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 and may vary depending on the candidate's experience and skills.

📌 Applicant Insights

🔍 Company Context

Industry: AlphaSense operates in the Software Development industry, focusing on market intelligence and search built on proven AI.

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

Founded: AlphaSense was founded in 2011 and has since grown to employ over 2,000 employees across the globe.

Company Description:

• AlphaSense is a leading provider of market intelligence and search solutions, trusted by over 4,000 enterprise customers, including a majority of the S&P 500.
• The company's platform quickly delivers relevant 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.
• AlphaSense is headquartered in New York City with 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 with a strong focus on innovation and growth in the market intelligence and search industry.

📊 Role Analysis

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

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 a hybrid or remote component, depending on the company's policies and the candidate'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 in areas such as big data technologies, workflow optimization, and mentoring junior analysts.
• Chance to work on high-impact projects that drive data quality improvements and enhance the overall user experience.

ASSUMPTION: This role offers significant opportunities for professional growth and development within a dynamic and innovative company.

🌍 Location & Work Environment

Office Type: AlphaSense's Delhi office is a modern, collaborative workspace designed to foster innovation and productivity.

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:

• Delhi is the capital city of India and a major hub for technology, finance, and commerce.
• The city offers a vibrant culture, rich history, and numerous opportunities for professional growth and development.
• AlphaSense's Delhi office provides a dynamic and collaborative work environment, with opportunities to work with and learn from experienced professionals in the field.

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

ASSUMPTION: The work environment at AlphaSense's Delhi office is collaborative, innovative, and focused on driving data quality improvements and enhancing the user experience.

💼 Interview & Application Insights

Typical Process:

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

Key Assessment Areas:

• Technical skills and expertise in entity data and reference data management
• Problem-solving abilities and data analysis skills
• Communication and presentation skills
• 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
• Demonstrate your understanding of entity data and reference data management in your application materials
• Prepare for the technical assessment or case study presentation by brushing up on your SQL skills and reviewing AlphaSense's platform and services
• Research AlphaSense's company culture and values to ensure a strong cultural fit

ATS Keywords: Entity Data, Reference Data, Data Management, SQL, Data Quality, Entity Resolution, Corporate Hierarchies, Legal Identifiers, LEI, DUNS, Data Integrity, Workflow Optimization, Collaboration, Reporting, Research, Data Analysis, Problem Solving, Communication

ASSUMPTION: AlphaSense's application process is designed to assess candidates' technical skills, problem-solving abilities, and cultural fit for the role and the company.

🛠️ Tools & Technologies

• SQL
• ClickHouse
• Google Suite
• Advanced Excel
• Data visualization and reporting tools

ASSUMPTION: The tools and technologies required for this role may vary depending on the specific needs of the project and the candidate's expertise.

👔 Cultural Fit Considerations

Company Values:

• Innovation: AlphaSense fosters a culture of continuous learning and improvement, encouraging employees to challenge the status quo and drive innovation in the market intelligence and search industry.
• Collaboration: AlphaSense values collaboration and teamwork, with a focus on driving data quality improvements through cross-functional collaboration and knowledge sharing.
• Integrity: AlphaSense is committed to maintaining the highest standards of data integrity and ethical business practices, with a focus on delivering accurate and reliable insights to clients.

Work Style:

• Data-driven: AlphaSense's work style is heavily focused on data-driven decision-making, with a strong emphasis on analysis, interpretation, and communication of complex data insights.
• Collaborative: AlphaSense values a collaborative work environment, with a focus on knowledge sharing, teamwork, and cross-functional collaboration.
• Dynamic: AlphaSense operates in a dynamic and fast-paced industry, requiring employees to be adaptable, flexible, and responsive to change.

Self-Assessment Questions:

• How do you approach and resolve complex data inconsistencies in a large-scale entity or financial data environment?
• Can you provide an example of a time when you identified and addressed a significant data quality issue, and what was the outcome?
• How do you prioritize and manage multiple data investigations and projects simultaneously?

ASSUMPTION: AlphaSense's company culture is dynamic, collaborative, and data-driven, with a strong focus on innovation, integrity, and continuous learning and improvement.

⚠️ Potential Challenges

• Working with large-scale entity or financial data can be complex and time-consuming, requiring strong data analysis and problem-solving skills.
• Collaborating with multiple teams and external content vendors may present communication and coordination challenges.
• Working a late shift to support the U.S. team may require flexibility and adaptability in scheduling and work arrangements.
• Delhi's competitive job market and high cost of living may present challenges for candidates considering relocation or commuting to the office.

ASSUMPTION: These challenges can be mitigated through strong communication, collaboration, and time management skills, as well as a willingness to adapt and learn in a dynamic work environment.

📈 Similar Roles Comparison

• Compared to related roles in data management or market intelligence, this role places a stronger emphasis on entity data and reference data management, with a focus on driving data quality improvements through advanced analysis and workflow enhancements.
• In the market intelligence and search industry, AlphaSense is known for its innovative and data-driven approach to market intelligence and search solutions, with a strong focus on delivering accurate and reliable insights to clients.
• Career progression in this role may lead to management or senior leadership positions within the data management or product teams, with opportunities to expand skills and expertise in areas such as big data technologies, workflow optimization, and mentoring junior analysts.

ASSUMPTION: This role offers unique opportunities for professional growth and development within a dynamic and innovative company, with a strong focus on driving data quality improvements and enhancing the user experience.

📝 Sample Projects

• Conducting a comprehensive root-cause analysis of duplicate LEIs in AlphaSense's entity reference data and developing a remediation plan to address the issue.
• Identifying and addressing mismatched hierarchies in AlphaSense's corporate hierarchy data, with a focus on enhancing data consistency and accuracy across multiple vendor sources.
• Developing and implementing a data quality dashboard to monitor and track key performance indicators (KPIs) related to AlphaSense's entity reference data, with a focus on proactively identifying and addressing emerging data quality risks.

ASSUMPTION: These sample projects are designed to illustrate the types of data analysis, problem-solving, and workflow enhancement opportunities available in this role.

❓ Key Questions to Ask During Interview

• Can you describe the typical workflow for investigating and resolving complex data issues in this role?
• How does the team collaborate with external content vendors to ensure data changes align with system requirements and business logic?
• What opportunities are there for professional growth and development within the data management or product teams at AlphaSense?
• How does AlphaSense support work-life balance for employees working a late shift to support the U.S. team?
• What are the most challenging aspects of this role, and how can they be mitigated through strong communication, collaboration, and time management skills?

ASSUMPTION: These key questions are designed to help candidates better understand the role, the team, and the company culture, as well as to assess their fit for the position.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the AlphaSense careers portal
• Tailor your resume and cover letter to highlight your relevant experience and skills for this role, with a focus on entity data and reference data management, data analysis, and problem-solving abilities
• Prepare for the technical assessment or case study presentation by brushing up on your SQL skills and reviewing AlphaSense's platform and services
• Research AlphaSense's company culture and values to ensure a strong cultural fit
• Follow up with the HR team one week after submitting your application to inquire about the status of your application and 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.