Research Analyst (TV & Film Data Operations)

Location: Remote (Preference for native/near-native English markets such as South Africa; open globally)
Type: Full-time (40 hours/week)
Work Hours: US Business hours

The Role

We are hiring Research Analysts to power a critical function within our data operations team: translating entertainment industry news into structured database updates.

This is not traditional data entry.

You will spend your day:

Reading industry news articles about TV and film projects
Interpreting what the article means (not just what it says)
Updating structured database fields accordingly
Identifying inconsistencies across sources
Flagging ambiguity for further review

This role sits at the intersection of:

Media industry knowledge
Analytical thinking
Precision data entry

What You’ll Actually Do (Day-to-Day)

1. Interpret Entertainment News

Read articles about film/TV announcements, renewals, casting, production updates, etc.

Extract key information and translate it into structured database entries.

Example:

Article says: “Taylor Sheridan is writing and creating a new series…”

You correctly interpret: Showrunner = Taylor Sheridan

2. Maintain Database Accuracy

Create new project records when they don’t exist
Update existing records with new information
Assign correct project statuses (e.g., “Active Development,” “Pre-Production”)

3. Cross-Reference External Data

Compare partner-provided lists with internal database records.

Identify:

Missing data
Conflicting information
Outdated entries

4. Handle Ambiguity Thoughtfully

When sources conflict, do not guess.

Add structured research notes and flag for internal review.

5. Follow Structured Processes Consistently

Work within a proprietary platform with defined fields and workflows
Maintain high accuracy across repetitive but detail-sensitive tasks

What Success Looks Like

You will succeed in this role if you:

Consistently produce accurate, structured data from messy inputs
Develop a strong understanding of film/TV industry terminology
Make sound judgment calls when interpreting ambiguous information
Maintain focus and consistency across 40 hours/week
Stay with the team long-term and improve over time

Who Will Do Well in This Role

This role is ideal for someone who is:

1. Detail-Oriented to an Exceptional Degree

You naturally catch inconsistencies others miss and care deeply about accuracy.

2. Strong in Written English

You can easily understand nuance, tone, and implied meaning in articles.

3. Familiar with Film & TV (Even at a Basic Level)

You don’t need to be an expert—but you understand concepts like:

Showrunner vs. writer
Development vs. production
Seasons, renewals, pilots, etc.

4. Process-Driven and Consistent

You’re comfortable doing structured work for long periods without losing quality.

5. Comfortable With Repetition + Thinking

This role is repetitive in format, but not mindless—each task requires judgment.

6. Looking for Stability (Not a Side Hustle)

You want a long-term, full-time role—not something temporary while pursuing another career.

Who Will NOT Do Well in This Role

This role is not a fit if you:

1. Prefer Creative or Fast-Changing Work

If you need constant novelty or creative output, this will feel repetitive.

2. Struggle With Ambiguity

If you need everything to be explicitly stated (vs. inferred), this will be difficult.

3. Are Prone to Careless Mistakes

Small errors compound quickly in this role and impact data integrity.

4. Want a Short-Term Role

We are explicitly looking for people who will stay 1+ years.

5. Dislike Structured Systems

You’ll be working within defined fields and processes—not freeform work.

6. Lack Strong English Comprehension

This role requires understanding nuance—not just basic reading ability.

Tools & Systems

Proprietary ProdPro platform (article feed + structured data entry forms)
External references (e.g., IMDb and similar sources)
Internal workflows for tagging, notes, and adjudication

Research Analyst - 59170997122