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Data Analyst III - GIPHY

Data Analyst III

Step into a leadership role as a Data Analyst III, where you will drive the strategic direction of our analytics and insights capabilities. In this senior position, you are expected to lead complex projects, mentor a team of data analysts, and collaborate with cross-functional teams to align analytical solutions and data product deliverables with business goals. With a deep understanding of the business context in which you operate and advanced analytical techniques, you will be responsible for delivering actionable insights that directly influence business decisions as well as delivering high quality data products satisfying customer expectations. This role is an opportunity to leverage your extensive data analytics experience, influence data product development, and champion innovation, setting new standards for excellence within our organization.

The Day to Day

  • Lead the development and implementation of comprehensive data analyses, insights, and data curation solutions that align with organization goals ensuring the integrity and accuracy of the data throughout the analysis and data curation lifecycle. Lead and mentor a team of data analysts, providing guidance and direction to ensure high-quality data analysis, data products and reporting.

  • Play a pivotal role in shaping data strategy, making significant contributions to data product roadmap decisions. Work closely with senior leadership and cross-functional teams to ensure alignment with overall business objectives.

  • Drive innovation by exploring new data analytics tools and technologies. Recommend and implement new tools and technologies to improve data analysis, curation, and reporting capabilities,

  • Lead efforts in optimizing development processes and methodologies to enhance team agility and product quality. Implement data quality control measures to ensure accuracy and consistency. Refine and enforce policies for data handling and processing to ensure compliance with established best practices.

Education

B.A./B.S. in Information Systems, Statistics, Computer Science, or related degree or equivalent practical experience.

Experience

5+ years of professional experience, with a track record of contributing to strategic decision-making, and mentoring junior analysts.

Technical Competency

  • In-depth knowledge of database structures, theories, principles, and practices, along with advanced SQL skills for querying, updating, and managing data

  • Ability to create compelling and understandable visualizations tailored for various audiences. Proficiency with data visualization tools like Tableau (preferred), Looker, Sigma, or similar

  • Knowledgeable of relational data models and statistical principles

  • Experience working with data warehousing concepts, terminology, and architecture

  • Experience with Python or equivalent programming language, manipulating dataframes in Pandas or PySpark is a plus

  • Basic understanding of machine learning concepts

  • Experience with Excel/Google Sheets and more advanced formulas like XLOOKUP or Pivots

Behavioral Competencies

  • Excellent communication skills, both written and verbal with the ability to present complex data to non-technical stakeholders

  • Excellent active listening skills

  • Excellent analytical, problem-solving, and critical thinking skills

  • Excellent team player and ability to work cross-functionally with business partners

  • Ability to juggle between multiple high priority projects

  • Ability to build and maintain relationships with business stakeholders and leaders

  • Commitment to continuous learning and staying current with industry trends and technologies

  • Understanding of the industry and business processes to ensure that data analysis is relevant and impactful

  • Ability to lead data projects, make strategic recommendations based on data insights, and influence decision-making processes at the highest levels of the organization

  • Ability to work independently with senior stakeholders with minimal managerial guidance

Nice To Haves

  • Experience with Databricks

  • Familiarity with ETL processes and Google BigQuery, Amazon Athena, and Redshift and relaying data needs to Data Infrastructure teams

  • Experience using project management tools like Jira (preferred), Asana, Trello, or Monday.com

  • Understanding of coding best practices and familiarity with version control best practices in Git

  • Experience in the ad tech or similar industry


 

GIPHY

GIPHY sits at the intersection of personal communication and shared moments. GIPHY is the best way to search, share, discover and create GIFs on the Internet. The content on GIPHY's website, app, and API is all of the best and most popular GIFs on the web, along with content created by talented GIF artists and world-class brands. Our goal is to help make finding and sharing the good GIFs easier.

Shutterstock

Shutterstock connects diverse artists and creative professionals around the globe with the agencies, brands and people who need their work and services. It’s a place where creators come to be inspired and discover new ways to produce their best work. Shutterstock enables its employees to drive culture and tap into the world around them to develop the toolbox and solutions that help others share their world views. At Shutterstock, your ideas will be welcomed, your uniqueness will be celebrated, and you will be supported in presenting your view of the world as you experience it. We’re champions of resiliency; quickly learning from our shortcomings in our pursuit of continuous growth. Diverse teams are critical to our success. We encourage people from different backgrounds to apply and we commit to creating and maintaining a culture where employees know they belong and have equal opportunities to succeed.

At Shutterstock, we are committed to providing competitive pay and benefits that are in line with industry standards. The compensation package offered may vary depending on employment experience, skills, and knowledge. You may also be eligible for our generous benefits package including health, wellness and financial benefits. Compensation ranges for candidates in locations outside of the location(s) below may differ based on the cost of labor, market, and additional factors.
 
The pay range for this position is below:

    • 135,000 - 160,000 per year in New York

Note: Commission-eligible roles are expressed as on-target earnings (base and commission). Non-commission roles are expressed as base salary only but are also eligible for annual incentives.

Shutterstock Values

We are one team collectively focused on creating an unrivaled experience for our Customers and Contributors. Our Values represent the mindset of the employee who will thrive at Shutterstock.  If you are passionate about what you do, and want to become part of a cutting-edge technology company building industry leading products, please apply.

Shutterstock is an Equal Opportunity Employer. Suitably qualified and eligible candidates are encouraged to apply  regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

Shutterstock ensures that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.  Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accommodation_request@shutterstock.com.

The referenced salary range is based on the Company’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

Average salary estimate

$147500 / YEARLY (est.)
min
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$135000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analyst III - GIPHY, Shutterstock

Join GIPHY as a Data Analyst III and take your place at the forefront of our innovative analytics team! This is an exciting opportunity to lead the way in shaping data strategies and delivering insightful analytics solutions that truly matter. As a Data Analyst III, you will leverage your extensive experience to mentor a talented team, guiding them through complex data projects while collaborating closely with cross-functional teams to align our data product deliverables with key business objectives. Your knack for transforming complex data into actionable insights will be pivotal in influencing strategic decision-making. Your day-to-day will involve not only leading comprehensive data analyses but also recommending and implementing the latest tools and technologies, ensuring our data operations are both agile and high-quality. If you are someone who possesses advanced SQL skills, a solid understanding of data visualization tools like Tableau, and a passion for innovation in the analytics space, you'll fit right in at GIPHY! Come help us inspire personal communication and shared moments through the best GIFs on the internet, as you refine our analytics capabilities and elevate our data products to new heights.

Frequently Asked Questions (FAQs) for Data Analyst III - GIPHY Role at Shutterstock
What are the main responsibilities of a Data Analyst III at GIPHY?

As a Data Analyst III at GIPHY, your primary responsibilities include leading the development and implementation of data analyses that align with organizational goals, mentoring a team of data analysts to ensure high-quality outputs, and collaborating with different departments to contribute to the data product roadmap. You will leverage your advanced analytical skills to provide actionable insights that will influence strategic decisions across the company.

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What qualifications do I need to become a Data Analyst III at GIPHY?

To qualify for the Data Analyst III position at GIPHY, you should possess a B.A./B.S. in Information Systems, Statistics, or a related field, along with 5+ years of professional experience in data analysis. Strong technical skills in SQL, data visualization tools like Tableau, and a basic understanding of machine learning concepts are essential. Additionally, being an effective communicator and a team player is crucial for this role.

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How does collaboration work for a Data Analyst III position at GIPHY?

Collaboration is a key part of the Data Analyst III role at GIPHY. You'll work closely with cross-functional teams and senior leaders to ensure that the analytics solutions you develop effectively align with business objectives. This role requires excellent communication skills to present complex data insights to non-technical stakeholders, making sure that everyone is on the same page for decision-making.

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What tools will I use as a Data Analyst III at GIPHY?

In the Data Analyst III role at GIPHY, you'll engage with various analytical tools and technologies. Advanced SQL for data querying is crucial, and familiarity with data visualization tools such as Tableau or Looker is preferred. Additionally, skills in Python or equivalent languages, alongside a good grasp of data warehousing concepts, will enhance your capability in this position.

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What is the salary range for a Data Analyst III at GIPHY in New York City?

The salary range for a Data Analyst III at GIPHY in New York City typically falls between $135,000 to $160,000 per year. Salary may vary based on factors such as experience, skills, and knowledge. This position also offers eligibility for annual incentives, contributing to competitive overall compensation.

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Common Interview Questions for Data Analyst III - GIPHY
Can you explain your experience with SQL in data analysis?

When answering this question, focus on specific examples of how you've utilized SQL to query and manage data. Discuss any complex queries you've written, how you've optimized performance, and how your SQL skills played a role in delivering actionable insights during data projects.

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How do you ensure the accuracy of your data analysis?

In answering this question, highlight your strategies for data validation and quality control measures you've implemented. Mention experiences where you've identified discrepancies in data and how correcting them impacted the final analysis and decisions made by stakeholders.

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Describe a time you mentored someone on your team.

Provide an example that showcases your mentorship style, emphasizing your approach in guiding your mentee. Talk about the skills you helped them develop, the challenges they overcame, and how their growth contributed to team success and improved project outcomes.

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What visualization tools do you prefer for presenting data, and why?

Discuss your experience with specific visualization tools like Tableau or Looker and explain why you find them effective for communicating insights. Give examples of dashboards or visual reports you've created and how they facilitated decision-making in previous roles.

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How do you handle multiple projects with high priority deadlines?

Provide insight into your time management strategies and organizational skills. Discuss specific tools or methods you use for prioritization, how you communicate with your team, and any examples of successful project completions within tight timelines.

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What has been your most significant contribution to a data strategy in your previous roles?

Share a specific project where you played a key role in shaping data strategy. Detail the objectives, the techniques you employed, the challenges faced, and the ultimate impact your contributions had on the organization’s goals.

Join Rise to see the full answer
How do you stay updated with industry trends and advancements in data analytics?

Discuss your commitment to continuous learning through courses, certifications, blogs, or community involvement in data analytics. Mention specific sources you follow and how you integrate new trends or learnings into your work.

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Give an example of how you translated complex data findings to non-technical stakeholders.

Provide a narrative of a situation where you simplified technical data insights for an audience without a technical background. Focus on the strategies you used to ensure clarity and the effectiveness of the communication.

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What programming languages or tools are you comfortable using besides SQL?

Mention any relevant programming languages such as Python and describe how you've utilized them in your data analysis tasks. Share examples where you've used programming to manipulate data and derive meaningful insights.

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Why do you want to work at GIPHY as a Data Analyst III?

Reflect on GIPHY's unique position in the industry of personal communication and entertainment. Discuss your enthusiasm for the brand and how your skills and values align with GIPHY’s mission, emphasizing your desire to contribute to a team that thrives on creativity and innovation.

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Shutterstock is a leading global provider of high-quality licensed photographs, vectors, illustrations, videos and music to businesses, marketing agencies and media organizations around the world. Working with its growing community of over 1 mill...

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Full-time, on-site
DATE POSTED
April 11, 2025

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