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Data Analyst, AI

Motive empowers physical operations with tools for safety, productivity, and profitability. They are looking for an entry-level Data Analyst to support their AI team in developing and evaluating AI products.

Skills

  • SQL & Redash / Snowflake
  • Python
  • Data Analysis & Visualization tools
  • Problem-solving skills
  • Communication skills

Responsibilities

  • Data Exploration & Visualization
  • Performance Monitoring
  • Performance Hardening
  • A/B Testing & Experimentation
  • Root-Cause Problem Solving
  • Reporting
  • Cross-functional Collaboration

Education

  • Bachelor’s Degree in Computer Science or related field

Benefits

  • Diversity and inclusion workplace
  • Equal opportunity employer
To read the complete job description, please click on the ‘Apply’ button
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CEO of Motive
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Shoaib Makani
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What You Should Know About Data Analyst, AI, Motive

At Motive, an exciting opportunity awaits you as a Data Analyst in our AI team! We're all about empowering those who run physical operations by providing cutting-edge tools to enhance safety, productivity, and profitability. As a key member of our team based in Pakistan, you’ll dive into diverse tasks that span data exploration, visualization, and performance monitoring of our AI products. Imagine working with powerful tools like SQL, Tableau, and Python to uncover trends and provide critical insights that directly impact product enhancement. You’ll analyze metrics to gauge model effectiveness and engage in A/B testing to ensure our AI capabilities are top-notch. Your contribution to root-cause investigations will be vital in refining our algorithms, and you’ll also create engaging reports and dashboards to share your findings with our stakeholders. Collaboration is at the heart of what we do, so you'll work closely with various teams including Data Annotation and QA to drive our initiatives forward. We’re looking for fresh talent with a Bachelor’s Degree in a tech-related field and a strong foundation in SQL and Python, so if this sounds like you, join our dynamic team and help us shape the future of AI at Motive!

Frequently Asked Questions (FAQs) for Data Analyst, AI Role at Motive
What are the main responsibilities of a Data Analyst at Motive?

As a Data Analyst at Motive, your primary responsibilities will include data exploration and visualization using tools like SQL and Python. You'll be analyzing AI model performance metrics, conducting A/B testing to evaluate model efficacy, and engaging in root-cause problem-solving to ensure our AI products are operating optimally. Additionally, you'll be responsible for creating dashboards and reports to effectively communicate findings to business stakeholders.

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What qualifications do I need to apply for the Data Analyst position at Motive?

To be eligible for the Data Analyst position at Motive, you should possess a Bachelor's Degree in Computer Science, Electrical Engineering, or a related field. Experience with SQL, data visualization tools like Tableau or Power BI, and Python is essential. Strong problem-solving and communication skills are also important, and fresh graduates are encouraged to apply, especially those with experience in Computer Vision or Machine Learning.

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How can I prepare for an interview for the Data Analyst role at Motive?

Preparing for an interview for the Data Analyst role at Motive involves familiarizing yourself with key data analysis techniques and tools, particularly SQL and Python. Review common AI performance metrics and think of past experiences where you solved data-related problems. It’s also beneficial to practice communicating complex data findings in an understandable way since you’ll need to report to various stakeholders.

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What tools will I be using as a Data Analyst at Motive?

As a Data Analyst at Motive, you'll primarily use SQL for querying databases, along with data visualization tools such as Tableau and Power BI. Familiarity with Python libraries like Pandas and Matplotlib will also be crucial for data manipulation and visualization tasks. You’ll also engage in performance monitoring, requiring understanding metrics like accuracy and precision.

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What career opportunities can arise from working as a Data Analyst at Motive?

Working as a Data Analyst at Motive opens various career pathways in the technology and AI sectors. You could advance to roles such as Senior Data Analyst, Data Scientist, or even transition into management positions overseeing analytics teams. Additionally, you'll gain valuable experience collaborating across departments, which can further enhance your professional growth.

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Common Interview Questions for Data Analyst, AI
Can you describe your experience with SQL and its importance in data analysis?

In responding to this question, highlight your proficiency in SQL, emphasizing how you’ve utilized it to generate complex queries that extract valuable insights from databases. Discuss specific projects where SQL was essential in data manipulation and reporting, demonstrating your analytical thinking and technical skills.

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What data visualization tools are you familiar with, and how have you used them?

Share your experience with tools like Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn. Discuss projects where you created reports or dashboards and how your visualizations helped stakeholders understand data trends and make informed decisions.

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How do you approach data exploration and identifying trends or anomalies?

Explain your systematic approach towards data exploration, emphasizing the importance of contextualizing the data. Mention how you utilize statistical analysis, visualization techniques, and exploratory data analysis (EDA) to uncover insights and anomalies within datasets.

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What metrics would you analyze to evaluate the success of an AI model?

Discuss key metrics such as accuracy, precision, recall, and F1 score. Elaborate on how you would assess model performance and suggest improvements based on quantitative insights resulting from your analysis.

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Describe your experience with A/B testing and its significance in data analysis.

Talk about your understanding of A/B testing methodologies, and provide examples of how you've designed experiments to test hypotheses or innovations in AI systems. Emphasize the importance of statistical rigor in drawing conclusions from A/B test results.

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Can you tell us about a time when you solved a complex problem using data?

Be sure to illustrate your analytical capabilities by recounting a specific instance where you faced a challenging problem. Detail the data analysis techniques you applied, the insights you derived, and how those insights led to effective solutions.

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How do you handle communicating complex data findings to non-technical stakeholders?

Explain your strategies for making data accessible—using clear visuals, avoiding jargon, and focusing on actionable insights. Provide an example where you successfully communicated complex findings and how it influenced decision-making.

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What steps would you take if an AI algorithm fails in the field?

Outline a methodical approach to root-cause problem-solving, including gathering data on the failure, conducting investigations, consulting with team members, and applying insights to improve or adjust algorithm parameters to prevent future occurrences.

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What role does cross-functional collaboration play in data analysis?

Highlight the importance of working collaboratively across departments such as Product, QA, and Data Annotation. Share examples from prior experiences where collaboration influenced the analytical process and led to better outcomes.

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How would you stay updated with the latest trends in data analysis and AI?

Discuss your commitment to continuous learning through online courses, attending webinars, participating in forums, and reading relevant literature. Share specific sources you follow to keep your skills and knowledge sharp in the rapidly evolving AI field.

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Motive provides technology to enhance safety, productivity, and profitability for over 120,000 businesses in various industries, while fostering a culture of excellence and inclusivity for impactful work.

229 jobs
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BADGES
Badge ChangemakerBadge Diversity ChampionBadge Flexible CultureBadge Future MakerBadge Global CitizenBadge Innovator
CULTURE VALUES
Diversity of Opinions
Inclusive & Diverse
Collaboration over Competition
Growth & Learning
Mission Driven
Rapid Growth
Passion for Exploration
Empathetic
Feedback Forward
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
401K Matching
Life insurance
Maternity Leave
Paternity Leave
Paid Holidays
Paid Time-Off
Performance Bonus
Social Gatherings
Some Meals Provided
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
December 17, 2024

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