About Chronograph
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2016
$66.30K/yr
Other
Medical, Retirement, PTO
Posted 4 days ago
Overview
Chronograph was founded to bring next-generation technology to private capital markets. Through our suite of cloud-based analytics and data management solutions, we help many of the world's largest and most sophisticated venture capital, private equity, and credit funds understand their investment performance in unprecedented detail, with over 258,000 private companies and 15,000 private capital funds monitored via our solution suite.
At Chronograph, we get to go "behind the scenes" and work directly with investors who are driving some of the most impactful changes across high growth start-ups, global infrastructure and renewable energy, growth equity, and all other private capital strategies. The firm is backed by The Carlyle Group, Nasdaq Inc., and Summit Partners, and has seen continuous rapid growth since its founding in 2016.
The Opportunity
Join a team of former private equity professionals building a cutting edge cloud based portfolio monitoring platform for institutional investors.
We're looking for highly motivated professionals to contribute to our Data Operations team as we continue our rapid growth. This is a unique opportunity to gain deep experience in alternative assets at a market leading fintech company. You will gain expertise in financial analysis, private capital concepts and practices, corporate finance, financial research and relationship management.
This is an exceptional opportunity for a driven, detail-oriented top performer to become directly engaged with several of the world's most sophisticated private equity investors and produce an immediate impact within a globally-focused financial technology firm.
As an Analyst on our Data Operations team, you will:
The analyst program is a two year program, with exceptional candidates being offered a third year or direct promotion within the company. You can check out more information about the Data Operations team here.
You will be successful in this role if you:
During the interview, candidates should be prepared to speak to:
Even if you do not meet all criteria, we would still encourage you to apply or get in touch! Chronograph offers an entrepreneurial environment where you will be able to proactively identify opportunities to develop and strengthen our team.
Why join Chronograph?
We value creativity, open communication, cutting edge technology, striving for excellence in all things - and having fun along the way. We want you to be happy here for the long-term.
We offer:
Base Salary = $66,300
Chronograph is committed to promoting a diverse and inclusive culture, and we welcome applicants from all backgrounds. If you're a passionate team player who wants to have an outsized impact on a diverse and dynamic team, we'd love to hear from you!
Sourced by ZipRecruiter
Finance and insurance
11 - 50 Employees
New York, NY, US
2016
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Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
