Data Analyst
Remote - California, United States
Applications have closed
Channel Factory
We categorize content and activate video ads across Social Media including YouTube that are Safe & Suitable, Contextually Relevant & InclusiveAs the Data Analyst, you will play an integral role in tracking marketplace trends and be responsible for adjusting our business practices (i.e. pricing, forecasting, targeting approach) within the YouTube/Google ecosystem. You will be responsible for maintaining data models and reports in order to confidently, accurately, and creatively communicate best practices to internal teams. You will also work closely with client teams to forecast pricing and dig deep into campaign analysis, identifying trends, high/low performers, etc. to share insights with clients and with our internal teams to maximize performance. This role will also be tied to Product as any pricing and trend insights will need to be shared and updated in our technology. This person is ideally quick to anticipate changes, curious about trying and implementing new methods, and excited to work in an environment that continuously needs problem solving as the digital landscape is constantly evolving driving deep understanding of the YouTube/Google ecosystem (and other developing digital media auction products) in both marketplace forecasting and content trends to help maximize the company’s business goals. You will be responsible for building and maintaining data models and reports in order to confidently, accurately, and creatively communicate best practices to internal and external stakeholders, including C-Suite. As the digital media landscape is constantly evolving, you’re quick to anticipate changes, curious about trying new methods, and excited to work in an environment with solving challenging business intelligence problems with solutions that will be leveraged across the company.
Specifically…
- Analysis
- Mining and managing complex data sets from Google Ads, ViewIQ (internal reporting tool) and secondary (Industry resources) multiple sources, then reorganizing data in an easily readable format for clients and internal stakeholders/teams.
- Ability to interpret data sets and identify patterns and trends that can be valuable for forecasting efforts
- Creating, managing, and constantly updating benchmarks involving running multiple python scripts to transform data.
- Using the output of your models, build reports for Executive or C-Suite leadership management that effectively communicate trends, patterns, and predictions in a nontechnical manner.
- Conduct testing to ensure data quality and measure the performance of data projects
- Strong time management skills with the ability to handle work to on tight deadlines and the gravitas of Executive client and Executive requests (such as Quarter, Semi-Annual, Annual Biz Reviews for the top Global and US accounts)
- Actively read about, research and interpret changes in trends in the digital video landscape, particularly YouTube/Google Ads, in order to guide and recommend change in formulas and internal and external best practices
- Deep knowledge of pricing formulas and seasonality, outliers, and trends analysis
- Conduct price test and use statistical methods to measure the performance of new pricing and trends initiatives
- Collaborate across teams, including Engineering, Product and Sales, to identify opportunities for full-stack process improvements and help revise reporting requirements or standards develop policies, dashboards, data pipelines and scalable ad-hoc reporting
- You should influence upstream data model design, drive aggregate definitions, and develop your own data solutions as needed
- Create documentation that allows teams to duplicate or replicate processes if necessary
Requirements
What you’ve achieved…
- 3+ years of analytical experience preferably in the digital advertising ecosystem.
- 3+ years of work experience in Python and core data science packages such as Pandas, NumPy, sci-kit-learn, Matplotlib, and Seaborn.
- Working knowledge and implementation of various machine learning algorithms such as regression algorithms (Linear, Decision Tree, Random Forest, KNN, Support Vector Machines), time-series algorithms (SARIMA, Prophet).
- High-level experience in schema design, relational databases (Big Query, PostgreSQL), and database definitions.
- Experience in utilizing front-end reporting with Google Data Studio, Tableau, PowerBI, etc. to relay insights to a nontechnical audience.
- Experience initiating and driving projects to completion with minimal guidance
- Ability to use Microsoft Excel’s VBA macros, pivot tables, formulas, and graphs
- Ability to analyze existing tools and databases and provide solution recommendations
- Salesforce experience is preferred
- Bachelor’s Degree (or U.S. equivalent) in Economics, Statistics, Finance, Business, Information Systems, Data Science, Econometrics, Engineering, Computer Science, Mathematics, or related field).
Traits you exhibit…
- Communicator:
- Actively contribute and share findings across the organization, successfully tailoring communication style for both business and analytics to serve the most effective end goal
- Strong verbal and written storytelling and presentation skills and with a confident strong POV
- Skillset to break down complicated data, digital or YouTube ecosystem concepts into simple ideas
- Self-Starter with Attention to Detail:
- Collaborative - can work within a team and independently and manage up, down, and across departments
- Highly organized and detailed; curious about proactively finding solutions to problems and operates with a sense of urgency and discipline across various time zones
- Strong Interest in Developing Ad Tech:
- Driven and determined to learn and adapt to a fast-paced, constantly evolving ecosystem
- Bonus points if you are Google Ads or Facebook/Instagram certified
- Possess the highest levels of professionalism, integrity, and ethics
Benefits
- Work with a leading startup in a high-demand industry, and you would be working with like-minded experts aiming to transform video ad operations
- Competitive salary
- Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance)
- Cell phone and Wifi Reimbursement
- NatureBox credit for snacks
- Work-life flexibility – we value your contributions above all
About Channel Factory
Founded in 2010, Channel Factory is an award-winning marketing technology company that helps top global brands and agencies maximize YouTube advertising. Recognized as a technology innovator by Cynopsis and one of the fastest-growing companies by Inc., Channel Factory has served over three hundred of the Fortune 500 in delivering scalable, brand-safe, contextually aligned YouTube advertising software and services. By tapping into the deepest proprietary data pool on the market, the company enables highly customized, contextually aware, and dynamically optimized campaigns and provides industry-leading performance for a portfolio of clients across all industries.
Channel Factory is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Channel Factory makes hiring decisions based solely on qualifications, merit, and business needs at the time. The company also has employee resource groups focusing on encouraging inclusion and diversity in the workplace, including an LGBTQ+ committee.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Business Intelligence Computer Science Data pipelines Data quality Data Studio Econometrics Economics Engineering Excel Finance Machine Learning Mathematics Matplotlib Model design NumPy Pandas Pipelines PostgreSQL Power BI Python RDBMS Research Seaborn Statistics Tableau Testing
Perks/benefits: Career development Competitive pay Health care Insurance Medical leave Salary bonus Startup environment
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