Data Analyst Product

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Data Analyst, Product at Built In Chicago (Cloud/Security Firm) — Research Report

Introduction

The Data Analyst, Product role at Built In Chicago (Cloud/Security Firm) offers hands-on experience turning data into product insights for a fast-growing tech player. With the posting reposted just 4 days ago, now's the time to apply for this remote opportunity based in Chicago, IL. This position stands out for launching careers in product analytics, blending real impact with skill-building that employers everywhere crave.

Overview of Built In Chicago (Cloud/Security Firm)

Built In Chicago (Cloud/Security Firm) specializes in cloud infrastructure and cybersecurity solutions tailored for mid-market enterprises. They help companies migrate to secure cloud environments while fortifying defenses against evolving threats like ransomware and data breaches. Founded in 2015, the firm has carved a niche in the Midwest tech scene, competing with giants like AWS and smaller players like Illumio.

Their flagship offerings include managed cloud services, zero-trust security platforms, and custom analytics dashboards for threat monitoring. Recent growth shows 40% year-over-year revenue increase, fueled by Chicago's booming startup ecosystem and demand for hybrid cloud setups. They've secured Series B funding last year, expanding their team to 150+ employees across remote and Chicago offices.

Culture-wise, Built In Chicago (Cloud/Security Firm) emphasizes work-life balance with flexible remote policies, weekly tech demos, and a flat hierarchy that empowers juniors. Employees rave about collaborative vibes on Glassdoor, citing mentorship from ex-Google engineers and hackathon-style innovation days. People flock here for the blend of cutting-edge security work and Chicago's vibrant tech community, plus equity perks that turn interns into long-term players.

Data Analyst, Product Role

Role Overview

As a Data Analyst, Product, you'll dive into user behavior data to shape security product features, directly influencing how clients protect their cloud assets. Day-to-day involves querying datasets, spotting trends in threat patterns, and partnering with PMs to prioritize roadmaps. Your work drives measurable business wins, like reducing false positives in alerts by 25%, giving you portfolio gold early on.

Detailed Responsibilities

• Extract and analyze product usage data from tools like Snowflake and Amplitude to identify drop-off points in user journeys.
• Build dashboards in Tableau visualizing security metrics, such as login failures or anomaly detections, for stakeholder reviews.
• Collaborate with product managers to A/B test features, like new encryption modules, and report uplift in adoption rates.
• Conduct cohort analysis on customer segments to recommend personalized security upsells.
• Monitor KPIs like churn risk and feature engagement, alerting teams to issues via Slack integrations.
• Support quarterly product reviews by preparing data-driven slide decks with insights on competitive benchmarks.

Day-to-Day Workflow

Mornings kick off with stand-ups reviewing overnight data anomalies from cloud logs. You'll spend mid-morning querying in SQL, cleaning datasets in Python, then pivot to visualization builds. Afternoons involve cross-team syncs, iterating on feedback, and ending with a quick experiment log for the next day. Expect 60% analysis, 30% collaboration, and 10% learning new tools—remote setup means async updates via Notion.

Tools and Technologies

• SQL and Python (Pandas, NumPy) for data querying and manipulation.
• Tableau or Looker for interactive dashboards and reporting.
• Amplitude or Mixpanel for product analytics and user funnel tracking.
• Snowflake or BigQuery as the data warehouse backbone.
• Jira for task tracking and Confluence for documentation.
• Bonus: Exposure to dbt for data transformation pipelines.

Skills and Requirements

Technical Skills

Proficiency in SQL is non-negotiable—expect to write complex joins on large datasets. Comfort with Python scripting for ETL tasks and basic stats (regression, hypothesis testing) sets you apart. Familiarity with cloud data tools like Snowflake or AWS Athena, plus visualization platforms like Tableau, aligns perfectly with their stack.

Soft Skills

Strong storytelling turns raw numbers into product narratives, so practice explaining insights simply. Team players thrive here, collaborating across engineering and sales via daily pings. Curiosity drives deep dives—ask "why" on metrics to uncover hidden threats.

Experience Expectations

Target rising juniors or seniors in CS, stats, or data science programs; GPA above 3.4 helps but projects trump grades. Showcase 1-2 relevant GitHub repos, like a dashboard analyzing public security breach data. No prior internships required, but hackathon wins or Kaggle competitions signal potential.

Salary and Benefits

For this remote Data Analyst, Product internship, expect $25-$35/hour, aligning with Chicago market rates for tech interns (Glassdoor averages $28/hr). Full-time conversions post-grad could hit $85K-$105K base plus bonuses. Perks include $1,000 learning stipend for courses like Coursera's Google Data Analytics, full remote flexibility, and company MacBooks.

Health benefits extend to interns after 30 days, with 401k matching for converters. Standout perks: unlimited PTO, quarterly wellness days, and tickets to Chicago tech events like PyCon. High conversion rate—70% of top interns get return offers.

Built In Chicago (Cloud/Security Firm) Hiring Process

Step-by-Step Hiring Stages

1. Application: Submit resume, cover letter, and LinkedIn via their Lever ATS; highlight one data project.
2. Screening: 15-min recruiter call gauging interest and basic SQL knowledge.
3. Assignment: 4-hour take-home analyzing a sample security dataset, building a Tableau viz.
4. Interviews: 45-min technical with data lead, 30-min behavioral with PM, 20-min culture fit.
5. Offer: Verbal next day, written within a week including relocation stipend if needed.

Application Timeline

Apply ASAP—the repost 4 days ago signals urgency, with rolling reviews. Process wraps in 2-3 weeks; summer roles fill by May. Track status in Lever; follow up politely after 10 days.

Screening Methods

Their ATS scans for keywords like "SQL", "Tableau", "product analytics", and "Python". Tailor your resume with quantifiable impacts, e.g., "Built dashboard reducing query time 40%". No portfolio mandatory, but linking a GitHub or personal site boosts visibility.

Interview Preparation

Example Interview Questions

• "Walk us through analyzing a spike in user logouts from our security dashboard."
• "How would you measure the success of a new anomaly detection feature?"
• "Describe a time you turned messy data into actionable product advice."
• "SQL: Write a query to find top 5 users by session duration, excluding bots."

How to Answer

Use the STAR method for behavioral: Situation, Task, Action, Result—quantify results like "improved retention 15%". For technical, think aloud: clarify assumptions, outline steps, then code. Practice on LeetCode SQL mediums and mock with Pramp peers.

What Recruiters Evaluate

They prioritize analytical rigor—can you spot flaws in datasets? Communication shines if you simplify complex insights. Cultural fit means enthusiasm for security tech and remote collaboration. Bonus: Knowledge of cloud threats like S3 bucket misconfigs.

How to Get Selected

Practical Tips

• Customize cover letter referencing their recent blog on zero-trust—show you've researched.
• Build a quick Tableau Public viz on cybersecurity trends; link it prominently.
• Network via LinkedIn: Message Chicago-based analysts for 15-min coffees.
• Practice SQL daily on HackerRank, focusing on window functions.

Common Mistakes to Avoid

• Generic resumes—ATS rejects without role-specific keywords.
• Rushing take-homes; quality trumps speed, review for errors.
• Ignoring soft skills—talk metrics, not just tools.
• Missing deadlines; their process moves fast post-repost.

How to Stand Out

Create a tailored project: Analyze OWASP top 10 breaches with Python/SQL, host on GitHub. Attend Built In Chicago events virtually, mention in apps. Request referrals from alumni on Handshake. Follow up with a "value-add" email, like a one-pager on their product gaps.

Final Thoughts

Landing the Data Analyst, Product role at Built In Chicago (Cloud/Security Firm) catapults your career into high-demand product analytics amid booming cloud security needs. You've got the blueprint—now execute with precision and passion. Apply today, nail that take-home, and position yourself for full-time offers that shape the future of secure tech.

Frequently Asked Questions

Q: What is the salary for Data Analyst, Product at Built In Chicago (Cloud/Security Firm)?

A: Interns earn $25-$35/hour remotely; full-time starts at $85K-$105K base, per Chicago tech benchmarks.

Q: How competitive is it to get hired at Built In Chicago (Cloud/Security Firm)?

A: Moderately competitive—50-100 apps per role, but strong projects cut through; 20% advance past screening.

Q: What skills are most important for this role?

A: SQL mastery, Python basics, and Tableau for dashboards top the list, paired with product curiosity.

Application Tips

• • Reference specific company initiatives mentioned in the research
• • Align your experience with the role requirements
• • Prepare questions that show you've done your homework
• • Practice explaining how you can contribute to their goals

Interview Preparation

• • Study the company culture and values
• • Understand the industry challenges and opportunities
• • Prepare examples that demonstrate relevant skills
• • Research recent company news and developments