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Data Analyst Python Sql Jobs in Mahopac, NY (NOW HIRING)

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Basic SQL skills * Strong analytical and problem-solving abilities with attention to detail and ... Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python

New

Proficiency in writing and optimizing complex queries using SQL. * Experience using Python for data profiling and analysis (e.g., Pandas, NumPy). * Hands-on experience with AI/LLM platforms and ...

Proficiency in writing and optimizing complex queries using SQL. * Experience using Python for data profiling and analysis (e.g., Pandas, NumPy). * Hands-on experience with AI/LLM platforms and ...

SQL DBA/Developer

Stamford, CT · On-site

$48.25 - $66/hr

A Plus would be a combo SQL DBA/Developer We are looking for a skilled Senior SQL Database ... data flow in applications, identify optimization areas, and suggest improvements. Analyze and ...

Senior AWS Data Engineer

Bedford, NY

$112K - $152K/yr

Snowflake, SQL, Python, Spark, AWS- Glue, Big Data Concepts Responsibilities: * Lead the design ... Optimize data storage and retrieval processes to support data warehousing and analytics. * Provide ...

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Data Analyst Python Sql information

See Mahopac, NY salary details

$34.9K

$84.9K

$139.7K

How much do data analyst python sql jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst python sql in Mahopac, NY is $84,883.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $99,600.00 per year, depending on experience, location, and employer.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Mahopac, NY look for? The top searched job categories for Data Analyst Python Sql jobs in Mahopac, NY are:
What cities near Mahopac, NY are hiring for Data Analyst Python Sql jobs? Cities near Mahopac, NY with the most Data Analyst Python Sql job openings:

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Position: Data Scientist

Who we are:

Mediacom Communications Corporation is the 5th largest cable operator in the United States and the leading gigabit broadband provider to smaller markets primarily in the Midwest and Southeast. With a team of over 3,900 dedicated professionals, we are committed to bridging the digital divide between America's major cities and its smaller regions. Through its fiber-rich network, Mediacom offers high-speed data, video, phone, and mobile services to over 3 million households and businesses across 22 states. The company delivers scalable broadband solutions to commercial and public-sector customers of all sizes through Mediacom Business and sells advertising and production services under the OnMedia brand.

At Mediacom, we are passionate about growth and innovation. We offer faster, more reliable internet service, expanded digital and HD TV choices, and advanced home security and phone solutions. As we continue to expand, we strive to remain at the forefront of delivering cutting-edge entertainment, communications, and internet products. This year, we proudly launched our new mobile phone network, further enhancing our commitment to providing innovative and comprehensive services.

To achieve this, Mediacom Communications seeks talented professionals to partner with us to meet these challenges and realize what we can imagine. Take the next step toward a dynamic and rewarding career with Mediacom Communications. Learn more about us at mediacomcable.com

Position Overview:

The Data Scientist will collaborate with a multi-disciplinary team of marketing, sales, and leadership colleagues in order to analyze large data sets to evaluate and improve Mediacom's products, services, Ads, and customer acquisition/retention programs. This individual will apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis. Expertise in building and implementing Machine Learning algorithms is a must. As a Data Scientist, you will own the full lifecycle of model development from data exploration, algorithm design, and testing algorithm development and deployment, to algorithm monitoring and tuning in production.

Company Benefits:

At Mediacom, we believe that your success is our success, providing you the Power to Succeed in your career. That's why we offer a comprehensive benefits package designed to support and enhance both your personal and professional life. You'll find many advantages to joining the Mediacom team such as:

  • Comprehensive Health Coverage:Including health, vision, and dental insurance to keep you and your family healthy.
  • Education Enrichment:Up to $5,000 per year for professional development and educational advancement.
  • 401(k) Retirement Plan:With a generous company match to help you plan for your future.
  • Paid Time Off:Including vacation, holidays, and flexible paid time offto ensure work-life balance.
  • Employee Discounts:Enjoy discounts on Mediacom services where available, or receive a reimbursement for internet/cable services in areas where Mediacom isn't offered.
  • Ongoing Training and Professional Development:To help you grow in your career and achieve your professional goals.
  • And Much More:Additional benefits and perks!

Join the Mediacom team and experience how we're committed to your career growth and overall well-being.

Position Responsibilities:

  • Responsible for gathering requirements and writing functional design documents
  • Analyze data to discover trends and patterns
  • Build custom predictive data models and machine-learning algorithms
  • Present information using data visualization techniques
  • Use predictive modeling to increase and optimize customer experiences, customer churn, ad targeting and other business outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Act as a liaise between business users and technical team members including outsourced team members
  • Developing, testing, and implementing BI reporting artifacts coded in OBIEE or Tableau
  • Process structured and unstructured data
  • Provide production support regarding day-to-day reporting issues. Identify problem areas where appropriate and develop mitigation solutions
  • Perform other related duties as assigned.

Position Requirements:

  • Bachelor's Degree in Computer Science, Statistics / Mathematics, Data Science, or related field. Master's degree in the above fields, preferred
  • At least 2 years of hands-on job experience in a Data Scientist role
  • Experience working with and creating data architectures
  • Proven track record for implementing advanced machine learning algorithms using advanced statistical analysis techniques and concepts
  • Knowledge of Ensemble Modeling
  • Strong background in Data Warehousing / Report Visualization
  • Excellent Python, SQL, and Database Skills
  • 2+ years of experience with OBIEE or Tableau
  • Additional experience with QlikSense or Microsoft Power BI is a plus
  • Strong communication skills and ability to build positive, professional, and productive business relationships with business users
  • Proven ability to manage multiple projects simultaneously and produce tangible results
  • Self-Sufficient and able to work independently

Disclaimer:The salary range for this position is $100,000- $135,000.When making a job offer, we consider several factors in our determination, such as years of related work experience, relevant skills and qualifications; education level, and certifications/licenses.

Our Awards:Mediacom is proud to have received the following recognitions: 2025, 2024, 2023, 2022, and 2021 Best Managed Companies, 2019 Best Company for Women to Work, 2017 Best Company for People of Color and Women to Work, and Content & Connectivity Human Resources (C2HR)'s 2021 Social Impact Award.

Who you are matters here:Mediacom Communications Corporation is an Equal Opportunity/Affirmative Action Employer. We are committed to Equal Employment Opportunity (EEO) for all employees and applicants for employment. Mediacom Communications Corporation prohibits discrimination and harassment based on race, national origin, religion, age, color, sex, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. These protections extend to all employment policies, practices, and actions, including, but not limited to, recruitment and hiring; job assignments; performance management; rewards; promotions; training and development; reassignments; discipline; and separations.


#Li-Hybrid

Employment Type: Full time