Analytics Manager
Details:
Analytics Manager A thinker with the innate curiosity to dive deep into questions or anomalies in the data An experienced analytics professional with a background in an agency environment or as part of a digital marketing team 5-7 years of experience in analytics, strategic consulting, or data science Have held some combination of the following roles in a digital marketing context:
data analyst, data engineer, analytics lead, data scientist, or digital marketing manager An analytics storyteller who is able to listen, communicate, and iterate Collaborative and a hands-on team player who works well in groups Positive, energetic, and excited to make our customers successful
Job Description:
As the analytics manager you'll be helping to provide our customers with proactive and actionable reporting on their business goals and activity.
You'll ensure that key business activities are being properly measured, and help to analyze and explain what the data might mean.
The analytics manager will help us to understand the changing analytics landscape and plan for emerging trends and our customers' future needs.
The analytics manager will be responsible for both the sustainable delivery of reporting and to ensure a reliable, secure, and comprehensive customer data infrastructure.
They should be looking for opportunities to improve our tools and processes on an ongoing basis, as well as to mentor and teach our team about analytics' best practices.
Job RequirementsDetails:
Key
Responsibilities:
Help provide governance for the analytics team and the data they are handling Set and refine the team's mission and manifesto Lead the team to set the priority of project work and team initiatives Set guidelines and practices for the delivery of accurate, actionable business data Set guidelines and standards for the management and handling of data Understand and implement privacy and security controls for sensitive customer data Define and ensure compliance with data retention schedules and data access policies Develop analytics strategy Keep up-to-date with emerging trends and tools Engage with account teams to help them understand the best way to plan for analytics Proactively assess how business changes will impact measurement and reporting Assist with the identification of different customer audiences and help design appropriate customer journeys for them Deliver reporting Hands on creation of ad hoc reports, scheduled reports, and dashboards Ongoing review and analysis of data as it is delivered Synthesis of reporting across channels into meaningful analysis Data Visualization Help determine the best way to display data so that it is useful and impactful for our customers Create presentations of key data points which tell insightful stories Set reporting standards and practices for other team members Data Presentation Able to lead clients through data stories in a compelling, intelligible way Build stories and decks to support discussions and business decision making Implementation Expertise Tagging Need to be able to review tag implementations for accuracy Should be able to tag but not expected to be the primary resource for this Should be able to design tagging scheme that is extensible, thorough, and functional TestingWork with QA to ensure the thorough testing of all implementations and accuracy of data Training Teach key analytics concepts, practices, and processes to analytics team members, our other internal team members, and clients when needed Create analytics training materials for guided study or exploration by internal team members Technologies:
Our tool set typically includes technologies like the ones listed below.
Ideally you also use some combination tools like these and can train others to use them as well:
Analytics and Data Platforms (ie:
Google Analytics, Adobe Analytics, Segment, Tealium, etc.
) Tag Managers (ie:
Google Tag Manager, Ensighten, Adobe Tag Manager) Databases and Warehouses (ie:
Postgres, MySQL, Oracle, Dynamo DB, S3, Google BigQuery, Amazon Redshift, Snowflake) ETL Tooling (ie:
Amazon, Glue, Hadoop, etc.
) Dashboard and BI Tools (ie:
Tableau, Looker Studio, Amazon QuickSight, Sisense, Power BI) Data Analysis/Science (ie:
Python data science stack (numpy, pandas, matplotlib, Jupyter) Languages SQL (required) Python (required) Javascript, R, Gremlin, etc.
Recommended Skills Adobe Adobe Analytics Amazon Redshift Amazon S3 Apache Hadoop Communication Estimated Salary: $20 to $28 per hour based on qualifications.
Analytics Manager A thinker with the innate curiosity to dive deep into questions or anomalies in the data An experienced analytics professional with a background in an agency environment or as part of a digital marketing team 5-7 years of experience in analytics, strategic consulting, or data science Have held some combination of the following roles in a digital marketing context:
data analyst, data engineer, analytics lead, data scientist, or digital marketing manager An analytics storyteller who is able to listen, communicate, and iterate Collaborative and a hands-on team player who works well in groups Positive, energetic, and excited to make our customers successful
Job Description:
As the analytics manager you'll be helping to provide our customers with proactive and actionable reporting on their business goals and activity.
You'll ensure that key business activities are being properly measured, and help to analyze and explain what the data might mean.
The analytics manager will help us to understand the changing analytics landscape and plan for emerging trends and our customers' future needs.
The analytics manager will be responsible for both the sustainable delivery of reporting and to ensure a reliable, secure, and comprehensive customer data infrastructure.
They should be looking for opportunities to improve our tools and processes on an ongoing basis, as well as to mentor and teach our team about analytics' best practices.
Job RequirementsDetails:
Key
Responsibilities:
Help provide governance for the analytics team and the data they are handling Set and refine the team's mission and manifesto Lead the team to set the priority of project work and team initiatives Set guidelines and practices for the delivery of accurate, actionable business data Set guidelines and standards for the management and handling of data Understand and implement privacy and security controls for sensitive customer data Define and ensure compliance with data retention schedules and data access policies Develop analytics strategy Keep up-to-date with emerging trends and tools Engage with account teams to help them understand the best way to plan for analytics Proactively assess how business changes will impact measurement and reporting Assist with the identification of different customer audiences and help design appropriate customer journeys for them Deliver reporting Hands on creation of ad hoc reports, scheduled reports, and dashboards Ongoing review and analysis of data as it is delivered Synthesis of reporting across channels into meaningful analysis Data Visualization Help determine the best way to display data so that it is useful and impactful for our customers Create presentations of key data points which tell insightful stories Set reporting standards and practices for other team members Data Presentation Able to lead clients through data stories in a compelling, intelligible way Build stories and decks to support discussions and business decision making Implementation Expertise Tagging Need to be able to review tag implementations for accuracy Should be able to tag but not expected to be the primary resource for this Should be able to design tagging scheme that is extensible, thorough, and functional TestingWork with QA to ensure the thorough testing of all implementations and accuracy of data Training Teach key analytics concepts, practices, and processes to analytics team members, our other internal team members, and clients when needed Create analytics training materials for guided study or exploration by internal team members Technologies:
Our tool set typically includes technologies like the ones listed below.
Ideally you also use some combination tools like these and can train others to use them as well:
Analytics and Data Platforms (ie:
Google Analytics, Adobe Analytics, Segment, Tealium, etc.
) Tag Managers (ie:
Google Tag Manager, Ensighten, Adobe Tag Manager) Databases and Warehouses (ie:
Postgres, MySQL, Oracle, Dynamo DB, S3, Google BigQuery, Amazon Redshift, Snowflake) ETL Tooling (ie:
Amazon, Glue, Hadoop, etc.
) Dashboard and BI Tools (ie:
Tableau, Looker Studio, Amazon QuickSight, Sisense, Power BI) Data Analysis/Science (ie:
Python data science stack (numpy, pandas, matplotlib, Jupyter) Languages SQL (required) Python (required) Javascript, R, Gremlin, etc.
Recommended Skills Adobe Adobe Analytics Amazon Redshift Amazon S3 Apache Hadoop Communication Estimated Salary: $20 to $28 per hour based on qualifications.
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