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Senior Python Data Analysis Jobs in Connecticut (NOW HIRING)

The Hartford

Sr. Data Engineer - Hybrid

Hartford, CT · Hybrid

$106K - $145K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Data Analytical languages Python, R preferred * Strong critical thinking skills and analytical ...

Amicis Global

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

... Sr. Business Data Consultant to join us. The ideal candidate will demonstrate exceptional communication skills, experience in data analysis, and strong SQL abilities to gather required data from ...

Georgia IT

Senior Data Architect

Windsor, CT

$66.75 - $89.50/hr

Build conceptual, logical, and physical data models to support analytics * Drive cloud adoption and ... Hands‑on experience with Spark, Databricks, and Python/SQL * Snowflake expertise Preferred Skills:

New

Gartner

Data Analyst

Stamford, CT · On-site +1

IPA also supports the BTI organization by enabling and performing analysis running from client ... Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI * Collaboration: Strong ...

Gartner, Inc.

Data Analyst

Stamford, CT · On-site

IPA also supports the BTI organization by enabling and performing analysis running from client ... Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI * Collaboration: Strong ...

Gartner

Data Analyst

Stamford, CT · On-site +1

IPA also supports the BTI organization by enabling and performing analysis running from client ... Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI * Collaboration: Strong ...

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Senior Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Connecticut? The most popular types of Python Data Analysis jobs in Connecticut are:
What are popular job titles related to Senior Python Data Analysis jobs in Connecticut? For Senior Python Data Analysis jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Connecticut look for? The top searched job categories for Senior Python Data Analysis jobs in Connecticut are:
What cities in Connecticut are hiring for Senior Python Data Analysis jobs? Cities in Connecticut with the most Senior Python Data Analysis job openings:
Senior Python Data Analysis jobs near you
Data - Compliance Senior Analyst II

Data - Compliance Senior Analyst II

Interactive Brokers

Greenwich, CT • Hybrid

$96K - $121K/yr

Other

Medical, Dental, Vision, Retirement

Posted 13 days ago

Job description

This is a hybrid role (4 days in office / 1 day remote)

Interactive Brokers is looking for a motivated, data professional to support the implementation of Data Lineage and Data Governance efforts.

Responsibilities:

The Senior Compliance Data Analyst's primary focus will be to:

  • Support the continued adoption of the Interactive Brokers Data policies and procedures
  • Oversee governance efforts to strengthen data lifecycle management across the enterprise
  • Collaborate with technical and business stakeholders to strengthen data quality
  • Produce source to destination data maps for AML compliance reports and systems
  • Design periodic and adhoc supervisory reports and complete associated reviews
  • Guide and manage data incidents and remediation
  • Implement internal control enhancements and appropriately solution potential compliance matters
  • Assist coordinate responses to regulatory inquiries from foreign and US regulators
  • Draft and implement firm policies, controls and written supervisory procedures

Qualifications:

  • 5-7 years' experience with a broker-dealer, investment manager or regulator
  • Solid academic background with a Bachelors or Masters in Finance, Business, Economics, Computer Science, Data Sciences or Information Systems preferred
  • Experience with data catalog, business glossaries, mapping and metadata management tools
  • Experience with data classification and data loss protection policies and controls
  • Experience with triaging data incidents
  • Working knowledge of data related regulations for data management and data protection
  • Knowledge of UNIX, SQL, Python and databases is a plus
  • Ability to develop solutions that satisfy relevant regulations while executing sound business judgment
  • Ability to work both independently as well as in a small-team environment, and to multi-task with minimal supervision

To be successful in this position, you will have the following:

  • Self-motivated and able to handle tasks with minimal supervision
  • Superb analytical and problem-solving skills
  • Excellent collaboration and communication (verbal and written) skills
  • Outstanding organizational and time management skills

Company Benefits & Perks

  • Competitive salary, annual performance-based bonus, and stock grant
  • Retirement plan 401(k) with competitive company match
  • Excellent health and wellness benefits, including medical, dental, and vision coverage; company-paid medical healthcare premium
  • Wellness screenings and assessments, health coaches, and counseling services through an Employee Assistance Program (EAP)
  • Daily company lunch allowance and a fully stocked kitchen with healthy options for breakfast and snacks
  • Corporate events, including team outings, dinners, volunteer activities, and company sports teams
  • Education reimbursement and learning opportunities

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