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Data Analyst / Senior Data Analyst

ABOUT TRUE

As one of the fastest-growing organizations in the talent advisory space,

True is a global platform of companies that optimizes value creation by placing executive talent, developing business leaders, creating diverse and inclusive networks, and using innovative technology to advance executive talent priorities.  Our clients include innovative growth brands backed by leading Venture Capital and Private Equity firms as well as established public organizations.


With offices in North America, EMEA, & APAC, our team of industry and functional experts leverage their deep networks to connect companies with leading talent to transform businesses and industries. True has experienced a 30%+ annual growth rate across the past 5 years, and was recently recognized as a 2021 top workplace by Inc. Magazine.


True was founded on the belief that doing good is the pathway to doing well. Our growth and success are a by-product of our values—treating people right, listening to new ideas and keeping culture at the heart of our business. 


CAREER GROWTH AT TRUE

True is committed to developing early career talent.  We have robust L&D programming and clear career pathing. And, our meritocracy-based approach includes bi-annual promotion opportunities for top performers. If you are a professional who has ambitious plans for your future, we will help enable your success by matching you with an experienced Career Coach who will guide your growth and help you consistently achieve new goals. 


ABOUT THE ROLE

We are looking for a Data Analyst / Senior Data Analyst. In this role, you will be a key contributor to the broader True Platform data team to turn our data into actionable insights.


WHAT YOU’LL DO
  • Quantitative thought partner: Collaborate with internal teams and platform teams to improve business decisions through the use of data. Leverage data and analytics as a differentiator in all aspects of the business, including our SaaS products, business development and search execution.
  • Ad-hoc quantitative analysis: perform ad-hoc quantitative and qualitative analysis across a variety of strategic and operational topics
  • Create and communicate insights: Compile data and information into actionable insights through various mediums (dashboards, slide presentations or written reports)
  • Drive innovation: partner with leadership to create best-in-class technology enabled services for our clients.


WHO YOU ARE
  • Data savvy -- Strong analytical acumen and experience.
  • Tech savvy -- Enjoys an environment that calls for fast adoption of new technologies and workflows, and is willing to be the driving force behind it.
  • Intellectually curious -- about how we measure success at the industry, company, and individual level both internally and for our clients.
  • Quick Thinker--Able to think quickly on your feet and work with minimal supervision
  • Self-starter--Strong, entrepreneurial work ethic with an intrinsic desire to succeed.
  • Experienced Communicator--Strong oral and written communication skills with an ability to easily establish rapport with others.
  • Inclusive Collaborator--Thrive in a company culture where all are welcomed, included, and given the opportunity to succeed.


HARD SKILLS
  • Experience building models in Excel
  • Strong SQL experience
  • Experience with data visualization and BI tools (e.g., SiSense, Domo, Tableau, etc.)
  • Python or R preferred, but not required
  • Degree in a quantitative field (e.g., statistics, economics, applied math, operations research, engineering)


We will ensure 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. Please contact us to request accommodation.

Average salary estimate

$100000 / YEARLY (est.)
min
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$80000K
$120000K

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What You Should Know About Data Analyst / Senior Data Analyst, True Platform

At True, we're on the lookout for a passionate Data Analyst / Senior Data Analyst to join our vibrant team in Philadelphia, Pennsylvania. As one of the fastest-growing organizations in the talent advisory space, we value bringing on board individuals who crave opportunities for growth and are eager to transform data into actionable insights. In this role, you’ll team up with various internal and platform teams to leverage data analytics to enhance business decision-making. Your knack for conducting thorough quantitative and qualitative analyses across diverse strategic topics will be vital. You'll play an integral role in creating compelling insights through dashboards, presentations, and reports, which will help steer our business forward. If you love innovating and collaborating, True is the place for you! We're dedicated to creating an inclusive and supportive environment where everyone's ideas matter, and as part of our team, your voice will have an impact. Your analytical skills will be put to the test as you work with Excel, SQL, and possibly even Python or R, all to engineer an amazing experience for our clients. With a strong focus on professional development, we’re here to help you thrive in your career with coaching and promotion opportunities. Join us at True, where you’ll not only analyze data but also contribute to a mission that believes doing good is the pathway to doing well.

Frequently Asked Questions (FAQs) for Data Analyst / Senior Data Analyst Role at True Platform
What responsibilities will the Data Analyst / Senior Data Analyst have at True?

As a Data Analyst / Senior Data Analyst at True, you'll dive into various responsibilities including collaborating with internal teams to enhance decision-making through data analytics, performing quantitative and qualitative analysis, and compiling actionable insights into reports and dashboards. Your analytical skills will be pivotal in shaping our SaaS products and helping implement innovative technological solutions for our clients.

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What qualifications do I need to apply for the Data Analyst / Senior Data Analyst role at True?

To apply for the Data Analyst / Senior Data Analyst position at True, you should hold a degree in a quantitative field such as statistics, economics, applied math, or engineering. Additionally, experience in building models using Excel, strong SQL skills, and familiarity with BI tools like Tableau or Domo will be key to your success in this role.

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How does True support career growth for a Data Analyst / Senior Data Analyst?

True is committed to the professional development of all employees. As a Data Analyst / Senior Data Analyst, you'll benefit from robust learning and development programs, a meritocracy-based approach with bi-annual promotions for top performers, and the guidance of an experienced Career Coach to help you set and achieve your professional goals.

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What skills will make me successful as a Data Analyst / Senior Data Analyst at True?

Success as a Data Analyst / Senior Data Analyst at True hinges on strong analytical skills and a tech-savvy nature. You should be intellectually curious, possess excellent communication skills, and have a collaborative mindset. Being a self-starter who can think quickly and thrive in a fast-paced environment will significantly contribute to your effectiveness in this role.

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What tools and technologies will I use as a Data Analyst / Senior Data Analyst at True?

In the Data Analyst / Senior Data Analyst role at True, you will utilize a variety of tools and technologies including Excel for modeling, SQL for data manipulation, and BI tools like Tableau and Domo for data visualization. Familiarity with Python or R is preferred, but not required, so you'll have the opportunity to grow tech skills in a supportive environment.

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Common Interview Questions for Data Analyst / Senior Data Analyst
Can you describe your experience with SQL and how you've used it in your previous roles?

In your response, highlight specific SQL projects where you’ve designed queries to extract meaningful insights or transformed datasets. Discuss how your SQL proficiency contributed to better business decisions or improved operational efficiency.

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What approach do you take when performing ad-hoc analysis, and can you provide an example?

Discuss your structured approach to ad-hoc analysis, emphasizing your ability to quickly understand the problem, gather data, perform analysis, and present insights clearly. An example from a past role would help illustrate your analytical skills effectively.

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How do you turn complex data into actionable insights for stakeholders?

Explain your methodology for distilling complex data into simple insights. You could discuss using data visualization tools and crafting presentations or reports that align with stakeholder needs, ensuring the insights are easy to understand and relevant.

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Describe a time when you identified a significant trend in data analysis. What action did you suggest?

Share a specific example of a trend you uncovered in data analysis and articulate how your recommendation influenced business strategy. This showcases your analytical thinking and understanding of actionable insights.

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What experience do you have with data visualization tools like Tableau or Domo?

Highlight your hands-on experience with data visualization tools, emphasizing any specific projects where you created dashboards or visual reports. Mention how these visualizations helped communicate insights and impact decisions.

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How do you ensure your data analysis is aligned with business goals?

Emphasize the importance of understanding business objectives before conducting analysis. Describe your strategy for collaborating with stakeholders to ensure your work meets their needs and drives business success.

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What do you find most challenging about being a Data Analyst?

Discuss a common challenge faced by data analysts such as data quality issues or communicating complex insights. Highlight your strategies for overcoming these challenges and your willingness to adapt and learn.

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Can you explain your experience with Python or R in your analyses?

If applicable, share specific examples of projects where you utilized Python or R for data analysis tasks. Emphasize how these programming languages helped you analyze data more efficiently or automate processes.

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How do you stay updated on new data analysis tools and technologies?

Discuss your commitment to continuous learning by attending workshops, webinars, or following industry leaders. Mention specific resources, like platforms or communities, where you gather the latest insights.

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Why do you want to work for True as a Data Analyst?

Share your excitement for True's mission, values, and culture. Tie in your personal career goals with the opportunities for growth and innovation available at True to demonstrate your fit for the position.

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Full-time, on-site
DATE POSTED
December 6, 2024

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