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Senior Data Analyst
Planoly Austin, TX
$90k-118k (estimate)
Full Time 1 Month Ago
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Planoly is Hiring a Remote Senior Data Analyst

Planoly is looking for a Senior Data Analyst to join a growing startup and work on an application that thousands of brands, creators and marketing firms are using every day. You will have the opportunity to take a critical role on our Product team and have a huge impact on Planoly’s data first product process.

We are a small, fast-paced startup that is on a mission to help businesses and individuals simplify social marketing. You will be a key member of our product team, driving alignment and a data centric and self-serve data approach across Marketing, Product, Engineering & Customer Success.
About this role: This role is perfect for someone who proactively identifies areas of opportunity, is comfortable writing queries, responding to business requests and driving data-driven processes across Planoly. The ideal candidate has strong communication skills, is data and customer-obsessed, incredibly organized, process-driven but flexible, is detail-oriented while keeping track of the big picture, and easily builds effective relationships with team members who have diverse personalities and working styles.

This is an extremely high impact and high visibility role that is critical to the success of the product organization and Planoly as a whole.  

What you’ll do:

As a Senior Product Data Analyst, you will play a pivotal role within our product team. Your primary responsibilities will include:

  • Data-driven Decision Support:
    • Leverage Bigquery, Deepnote, and Data Studio to provide actionable insights that drive product strategy and decision-making.
    • Collaborate with cross-functional teams to understand business requirements and translate them into data analysis tasks.
  • Product Analysis:
    • Analyze user behavior, product performance, and key metrics to identify trends, opportunities, and areas for improvement.
    • Conduct and support A/B testing and cohort analysis to evaluate the impact of product changes on user engagement and conversion.
    • Work with the product managers to identify tracking and data strategy for new features before launch.
  • Data Infrastructure and Maintenance:
    • Work closely with the engineering team to ensure data integrity, implement data pipelines, and maintain a robust data infrastructure.
    • Evaluate and recommend tools and technologies for data analysis and reporting.
  • Reporting and Visualization:
    • Develop and maintain dashboards and reports to communicate key product metrics to stakeholders.
    • Present findings in a clear and compelling manner to both technical and non-technical audiences.
  • Process
    • Drive a process to manage incoming data requests, ongoing data support and maintenance, and enables strong cross functional support.

You are an expert in cross functional collaboration, you’ll be responsible for sharing your plans, work-in-progress, and results with other teams, marketing, sales, execs, support and any other stakeholders vital to the product team’s success.

What you’ll bring:

  • Analytical Mindset:
    • Strong analytical skills with the ability to derive insights from complex datasets.
    • Comfortable working with large datasets and knowledge of database management systems.
  • Business Acumen:
    • Understanding of product development processes and a keen awareness of the business impact of data-driven decisions across the business, not just in product development.
  • Collaborative Spirit:
    • Ability to work effectively in a cross-functional team environment, collaborating with product managers, engineers, and other stakeholders.
  • Communication Skills:
    • Excellent verbal and written communication skills, with the ability to convey complex findings in a simple and understandable manner.

Skills & experience:

  • Educational Background:
    • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field (or equivalent experience)
  • Professional Experience:
    • 4 years of proven experience as a Data Analyst, preferably in a product-focused environment.
    • Familiarity with data visualization tools such as Looker/Data Studio, Tableau, Power BI, or equivalent.
    • Comfortable managing and adding to data pipelines 
  • Technical Proficiency:
    • Expert in SQL for data querying and manipulation.
    • Experience with programming languages such as Python (particularly Pandas for data manipulation)
    • Experience working with pulling data from APIs via Python and inserting that data into a Data Warehouse
    • Experience with dbt (data build tool)
    • Experience with A/B testing methodologies and statistical analysis.
  • Other:
    • Excellent project management skills and expertise at managing multiple work streams.
    • Familiar in agile development processes 
      • Our data team currently runs there processes through a sprint like structure
    • Experience with Product Board, JIRA & Confluence a plus

Tech Stack:

  • Data Warehouse: Bigquery
  • EL (Extract and Load) - Custom python pipelines hosted on AWS and GC
  • Reverse ETL - Hightouch and Census
  • T (Transformations) - dbt
  • Orchestration - dbt Cloud
  • User Analytics - Pendo
  • CRM - Hubspot

We are a collaborative remote / hybrid team. We work hard, but respect the balance of work and life. You’ll be a supported member of our product team. We come together in person in Austin each quarter, and have a culture of ownership, accountability and low-ego. 

Personal characteristics: 

  • Accountability
  • Courage
  • Growth Mindset
  • Excellent communicator
  • A will to win, with heart
  • Entrepreneurial spirit 
  • Bias for action

Who We Are: Planoly is the industry-leading social marketing platform trusted by over 5 million users to visually plan, schedule, and measure performance across Instagram, Pinterest, and TikTok. Planoly is beautifully crafted to be simple, clean, and easy to use. Planoly believes firmly in inclusivity and is thrilled to pave the way for brands, businesses, and individuals of all backgrounds to carry out their digital marketing strategies seamlessly. 

Learn more about Planoly at https://www.planoly.com and https://www.planoly.com/blog

U.S. Equal Employment Opportunity/Affirmative Action Information

Planoly is proud to be an equal opportunity employer and will consider all qualified individuals seeking employment without regards to race, color, creed, religion, gender, gender identity, national origin, citizenship, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other protected classification.

Job Summary

JOB TYPE

Full Time

SALARY

$90k-118k (estimate)

POST DATE

03/07/2024

EXPIRATION DATE

06/02/2024

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$118k-141k (estimate)
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Remote | Full Time
$100k-127k (estimate)
5 Months Ago

The following is the career advancement route for Senior Data Analyst positions, which can be used as a reference in future career path planning. As a Senior Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Analyst. You can explore the career advancement for a Senior Data Analyst below and select your interested title to get hiring information.

Rev.com
Full Time
$91k-119k (estimate)
3 Weeks Ago

If you are interested in becoming a Senior Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Analyst for your reference.

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Does statistical analysis, explanatory and predictive modeling, data mining.

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They also monitor and oversee the work of less experienced analysts.

03/16/2022: Kansas City, MO

The senior data professionals work closely with business stakeholders to understand their objectives and to determine how data can be used to achieve the goals.

04/10/2022: Kingsport, TN

They also work with large sets of data and establish scalable and accurate analytics systems across several applications.

03/16/2022: Raleigh, NC

The Senior Data Analyst additionally develops models and ad hoc reports, sharing observations and recommendations with senior data management, executives, and stakeholders for further consideration.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Analyst jobs

Systems are then sent to the senior data analytics management for approval and feedback.

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Typically, senior data analysts have a diverse and rich background.

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Learn Data Analytics Fundamentals.

03/30/2022: Evansville, IN

A good data analyst has a blend of technical and soft skills.

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Candidates with strong academic results will be highly preferred as entry level analysts than their counterparts.

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Step 3: View the best colleges and universities for Senior Data Analyst.

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