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Data Analyst Python Sql Jobs in Toms River, NJ (NOW HIRING)

Analyze and correlate optical test data with design and process parameters to optimize device ... Strong SQL skills for complex data extraction from relational databases * Experience testing RF and ...

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Data Analyst Python Sql information

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

As of Aug 20, 2026, the average yearly pay for data analyst python sql in Toms River, NJ is $83,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $98,000.00 per year, depending on experience, location, and employer.

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 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.

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 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 Toms River, NJ look for?

The top searched job categories for Data Analyst Python Sql jobs in Toms River, NJ are:

What cities near Toms River, NJ are hiring for Data Analyst Python Sql jobs?

Cities near Toms River, NJ with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Toms River, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, 14% Hybrid, and 7% Remote job distribution, with an average salary of $83,496 per year, or $40.1 per hour.

Oracle to PostgreSQL Migration Consultant

Tanisha Systems, Inc.

East Brunswick, NJ • On-site

Other

Posted 9 days ago


Job description

Oracle to PostgreSQL Migration Consultant
Location: Sunnyvale, CA/ Austin, TX (Onsite)
FTE/Fulltime

Salary : Market- based on exp
Rate: Market- based on exp
CANDIDATE SHOULD HAVE PYTHON CODING EXPERIENCE AND ORACLE TO POSTGRESQL MIGRATION EXPERIENCE
Job Description
We are seeking an experienced Data Engineer with proven, hands-on expertise in migrating enterprise database workloads from Oracle to PostgreSQL. The ideal candidate will lead/support end-to-end migration activities including assessment, schema conversion, data migration, application compatibility, performance tuning, and cutover planning.
Key Responsibilities
  • Assess existing Oracle databases (schema, PL/SQL objects, indexes, partitioning, triggers, jobs) to determine migration complexity and approach.
  • Perform schema and object conversion from Oracle to PostgreSQL using tools such as AWS SCT/DMS, Ora2Pg, EDB Migration Toolkit, or custom scripts.
  • Convert PL/SQL procedures, functions, triggers, and packages to PostgreSQL PL/pgSQL, resolving syntax and behavioral differences.
  • Design and execute data migration/validation strategies (full load, incremental/CDC, reconciliation) ensuring zero/minimal data loss.
  • Identify and remediate incompatibilities (data types, sequences, materialized views, partitioning strategies, error handling, connection pooling).
  • Optimize PostgreSQL performance post-migration (indexing strategy, query tuning, vacuum/autovacuum, connection pooling via PgBouncer, partitioning).
  • Collaborate with application teams to update SQL queries, ORM configurations, and connection strings/drivers (JDBC/ODBC/psycopg2).
  • Plan and execute cutover strategy including rollback plans, downtime minimization, and go-live support.
  • Document migration runbooks, technical decisions, and lessons learned.

Required Skills & Experience
  • 5+ years of overall database engineering/DBA experience; 3+ years hands-on with Oracle-to-PostgreSQL migration projects (not just theoretical knowledge).
  • Strong command of Oracle (PL/SQL, RMAN, Data Pump, performance tuning) and PostgreSQL (PL/pgSQL, extensions, vacuum internals, replication).
  • Practical experience with migration tools: Ora2Pg, AWS SCT, AWS DMS, EDB Postgres Migration Toolkit, Google DMS, or equivalent.
  • Solid understanding of differences between Oracle and PostgreSQL (sequences, ROWID vs CTID, NVL vs COALESCE, hierarchical queries CONNECT BY vs recursive CTEs, autonomous transactions, packages, etc.).
  • Experience with data validation/reconciliation frameworks to ensure migration accuracy.
  • Familiarity with cloud database services (AWS RDS/Aurora PostgreSQL, Azure, GCP Cloud SQL) is a plus.
  • Scripting skills in Shell, Python for automation of migration tasks.
  • Experience with CI/CD pipelines and version control (Git) for schema/code management.
  • Strong problem-solving skills and ability to work with minimal supervision on complex legacy systems.