Search for Data Operations Analyst roles in New York City or remote positions, requiring 2+ years of experience, with a salary of $75,000 to $95,000, and proficiency in SQL and Python.

Okay, I've searched for Data Operations Analyst roles in New York City and for remote positions, requiring 2+ years of experience, with a salary range of $75,000 to$ 95,000, and proficiency in SQL and Python. I found 32 relevant positions for you.

Data Operations Analyst

New York City

2 years + Experience

$75000+

$95000-

SQL

Python

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Operations Analyst role at Canoe Intelligence is fundamentally about enhancing efficiency in document collection processes that are crucial for the company's delivery of its technology solutions. The incumbent will be expected to leverage Canoe's innovative technology to ensure that clients' documents are collected swiftly and accurately. This includes leading changes to processes, documenting procedures, and collaborating cross-functionally to align on technical solutions that resolve manual operations challenges. Moreover, this position requires not just a diligent executor but a strategic thinker who can identify and communicate operational issues and work towards data-driven enhancements. Success in this role will be reflected through the analyzer's ability to streamline complex workflows, contribute to long-term software solutions, and maintain excellent communication across various teams and clients. A strong candidate will need both in-depth analytical skills and the ability to adapt swiftly in a high-velocity environment, ensuring that operational goals evolve alongside the dynamic demands of the technology and finance landscapes.

Company Analysis:

Canoe Intelligence is situated in the rapidly evolving financial technology sector, specifically focusing on alternative investments—a niche that is gaining traction as institutional investors seek more efficient data management solutions. As a relatively young company that has spun out from Portage Partners, Canoe has a unique position in the market with a strong foundation in innovation and technology-driven solutions. The culture appears to be collaborative and client-centric, emphasizing ownership and excellence, which are pivotal for a role where cross-team cooperation is essential. The Data Operations Analyst will likely interact with multiple teams, including product management and client services, which suggests a need for both visibility and influence within the organization. Additionally, Canoe's strategic goals focus on automation and efficiency, implying that this role is not just about process management but also about contributing to larger initiatives aimed at scaling operations and ensuring client satisfaction. Successful candidates must embody the company's values and be passionate about driving improvements in a fintech setting, aligning closely with transformative goals aimed at enhancing the client experience and operational effectiveness.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to implement a process change in your work. What steps did you take, and what was the outcome?
Can you describe a situation where you identified a problem in a data process and how you went about resolving it?
Share an example of how you've collaborated with cross-functional teams. What challenges did you face and how did you overcome them?
Describe a time when you had to quickly adapt to changing priorities in a fast-paced environment. How did you manage your workload?
How would you approach improving a document collection process? What key factors would you consider?
Given a dataset with inconsistencies, what method would you use to assess and rectify the data issues?
What experience do you have with Excel or Google Sheets to analyze large datasets? Can you share an example of a complex analysis you've performed?
Imagine that you are tasked with onboarding a new client whose requirements differ significantly from those of existing clients. How would you approach this situation?
Why are you interested in working at Canoe Intelligence specifically, and how do you see your background contributing to our mission?
How do you stay up-to-date with advancements in financial technology, and how might these advancements impact your work as a Data Operations Analyst?
What strategies do you use to communicate complex technical information to non-technical stakeholders?
Can you provide insight into how you would set priorities when faced with multiple competing deadlines across different teams?
What questions do you have about our current operational challenges, and how do you envision contributing to solving them?
What aspects of Canoe's values resonate most with you, and how would you embody them in your work?

Job Details

Overview Company

Data Operations Analyst

$75k/y-$95k/y

Canoe Intelligence

7 days ago

Highlight

HybridFull-time2+ yearsMid

Summary

Canoe Intelligence is seeking a Data Operations Analyst to join their team in New York City (hybrid) or fully remote in the United States. The role involves overseeing complex processes to sustain Canoe’s document collection offering.

About the Role

As a Data Operations Analyst, you will leverage Canoe’s technology and data operations team to collect and deliver clients’ documents quickly and completely. You will lead process changes, act as the primary point of contact, address operational issues, and collaborate with the Product team to develop long-term software solutions. You will also act as a subject matter expert for data completeness and collaborate with client-facing teams to improve product and operational offerings.

About You

Required:

2+ years of professional experience in a high volume, high velocity operations environment.
Experience working with large datasets to provide data-driven recommendations.
Proven ability to work in a dynamic environment with evolving priorities.
Experience collaborating with different teams to drive technical and operational solutions.
Proficiency in Google Suite and Excel.
Proven ability to grasp new concepts quickly and understand the implications of issues and process changes.
Experience working and effectively communicating with global teams across timezones.

Preferred:

Prior experience as an Operations Analyst or Business Analyst in Financial Technology.
Familiarity with scripting languages such as SQL and Python.
Prior experience building out and maintaining cross-functional operational processes.
Interest in Financial Technology or Software.
Familiarity with Alternative Investments reporting.

Benefits

Medical, dental, vision benefits.
Flexible PTO.
401(k).
Flexible work from home policy.
Home office stipend.
Employee Assistance Program.
Gym/Wifi reimbursement.
Education assistance.
Parental Leave.

Canoe Intelligence

Canoe has reimagined the future of alternative investments with cloud-based, machine-learning technology for document collection, data extraction, and data science initiatives. We transform complex documents into actionable intelligence within seconds and empower allocators with tools to unlock new efficiencies for their businesses.

Our mission is to unlock efficiencies in alternative investment processes by introducing purpose-built automation into the workflows of institutional investors, asset servicers, capital allocators, and wealth managers.

In 2013, Canoe was incubated within a private investment firm, Portage Partners, and evolved into the firm’s operating backbone. To this day, Portage does not employ any middle or back office professionals and instead relies solely on Canoe. In 2017, Canoe spun out and began offering its scalable solution to managing complex alternative investment documents and data in 2018. Since the beginning, we’ve maintained a focused, client-first approach to building and enhancing our technology and will continue to do so.

New York City, NY