1

Weekend Python Data Analyst Jobs in Pennsylvania

Senior Data Analyst

Philadelphia, PA · On-site +1

$86K - $109K/yr

The Data & Analytics team consists of data analysts, data engineers and analytics engineers working ... Experience with R or Python for creating data models or data manipulation * The ability to make ...

Senior Data Analyst

Conshohocken, PA · On-site

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... SQL (preferred), dbt, DAX, Python or equivalent. * Experience with Snowflake or an equivalent cloud ...

Our work includes data preparation and transformation, discovery analysis, experimental design ... Proficiency in SQL, Tableau, Python, PySpark and cloud platforms like AWS and Snowflake.

Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required) * Experience working with data from CRM systems, e.g., Salesforce * Familiarity with underwriting and ...

Investment Data Analyst

Wayne, PA · On-site

$70K - $90K/yr

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

Senior Data Analyst

Fort Washington, PA · On-site

$82K - $104K/yr

Proficient in SQL, Python/R, Excel, and BI tools (e.g., Tableau, Power BI). Experience with data ... A meticulous approach to data analysis with a high level of accuracy and attention to detail.

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Job Summary Clark Associates is seeking a driven and detail-oriented Financial Data Analyst to join ... Proficiency in Python, Power Automate, and Excel VBA (nice to have) * Experience leveraging AI ...

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

next page

Showing results 1-20

Weekend Python Data Analyst information

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Pennsylvania? The most popular types of Python Data Analyst jobs in Pennsylvania are:

Senior Data Analyst

Jobcertify

Philadelphia, PA • On-site, Remote

$86K - $109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

The Data & Analytics team consists of data analysts, data engineers and analytics engineers working to build the most effective platform and tools to help uncover opportunities and make decisions with data here at Arkestro. We partner with Product, Support, Ad Operations and other teams within the Engineering department to understand behavior, develop accurate predictors and build solutions that provide the best internal and external experience possible.

The Data Analyst role will be assisting the analysts in their support of the business and helping to guide the direction through data based decisions. They will provide support in developing analytical processes and make use of data in meaningful ways that produce positive results.

Our current analytics toolkit consists of Tableau, Metabase and dbt running on top of a Snowflake data warehouse. We are exploring new BI tools and expect this position to add value in the implementation of this tool.

Essential Responsibilities

  • Work collaboratively with the product, support, engineering and ad ops to develop analytic monitoring and measurement tools that meet immediate needs
  • Develop self service tools that allow internal users to answer the next question beyond the initial ask
  • Assist on assigned projects through all phase
  • Increase the companys analytical ability and comfort level through approachable analyses for non-analytical stakeholders and audience specific guidance
  • Create visualizations to monitor business performance and uncover interesting trends for investigation
  • Communicating requirements to the data engineering members of the team to make sure the platform can support the business needs
  • Lead anomaly investigation helping other teams identify root cause and present findings
  • Define and create exception based alerting that is meaningful for specific audiences along with investigation and remediation steps
  • Comfortably test and critique the process we use for exploratory data analysis and A/B testing. This includes helping stakeholders decide on testing strategy, generating baselines, approximating sample sizes and performing analysis of test results
  • Work with data engineers and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users
  • Adhere to data analysis code best practices and analysis standards

Requirements

Location:

  • Applicants must be based in the United States.

You Have:

  • 4+ years of experience in a data analyst role
  • Extremely strong SQL skills (CTEs, window functions, optimization)
  • Experience with one or more major BI tools like Tableau, Looker, PowerBI, etc. (Domo preferred)
  • Experience using machine learning techniques
  • Comfortable working with multi-TB cloud data warehouses (Big Query, Snowflake, Redshift)
  • Knowledge of Ad Tech, Google Ad Manager and all of its fun quirks (so fun)

Nice to haves:

  • Experience with web analysis such as creating product funnels, user behavior, and paths
  • Experience with designing and analyzing experiments including but not limited to A/B testing
  • Experience with R or Python for creating data models or data manipulation
  • The ability to make your teammates laugh (it wouldnt hurt if you were fun to work with is what Im saying)
  • Familiarity with event tracking systems (NewRelic, Snowplow, etc)
  • Experience with dbt and Snowflake

Benefits

  • Remote work environment
  • Travel opportunities (remember those!?)
  • Comprehensive benefits including 401k, Health, Dental, and Vision insurance
  • Learning allowance
  • Generous Vacation/Time off policies
  • Additional side benefits such as home-office upgrades, tuition reimbursement, paid gym memberships and wellness retreats, upgraded flights, cool swag and more
  • Company match charitable donations