CA, US
Job Description:
BI Reporting Analyst III
Mountain View, CA
6+ Months
Intuit // 33835660
BI Reporting Analyst III
Mountain View, CA
6+ Months
Intuit // 33835660
Job Description:
Duties:
Create and manage success metrics and leading indicators that provide a holistic understanding of performance of key M&C initiatives. Develop and maintain data pipelines, data collection processes, and dashboards for operational reporting and exploratory analysis, and provide training to empower stakeholders to self-serve for Intuit brand health and reputation KPIs, internal/external communications, and Intuit for Education.
Prepare and present reports and dashboards that measure performance for internal employees and external communications (social media, earned media). Measure the impact of marketing activities using advanced analytical approaches to help inform strategies, plans, and tactics on an on-going basis.
Establish and promote best practices for reporting strategies, data visualization, data interpretation and data integrity.
Communicate and influence across all levels of the organization.
Present analytical findings and recommendations in a clear and concise way to non-technical audiences, both in oral and written presentations. Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high-quality and broadly available.
Pursue data quality, troubleshoot data anomalies, validate data accuracy, and drive issues to resolution. Collaborate with technical and business stakeholders across different teams and businesses on cross-functional projects or analytics capabilities.
Duties:
Create and manage success metrics and leading indicators that provide a holistic understanding of performance of key M&C initiatives. Develop and maintain data pipelines, data collection processes, and dashboards for operational reporting and exploratory analysis, and provide training to empower stakeholders to self-serve for Intuit brand health and reputation KPIs, internal/external communications, and Intuit for Education.
Prepare and present reports and dashboards that measure performance for internal employees and external communications (social media, earned media). Measure the impact of marketing activities using advanced analytical approaches to help inform strategies, plans, and tactics on an on-going basis.
Establish and promote best practices for reporting strategies, data visualization, data interpretation and data integrity.
Communicate and influence across all levels of the organization.
Present analytical findings and recommendations in a clear and concise way to non-technical audiences, both in oral and written presentations. Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high-quality and broadly available.
Pursue data quality, troubleshoot data anomalies, validate data accuracy, and drive issues to resolution. Collaborate with technical and business stakeholders across different teams and businesses on cross-functional projects or analytics capabilities.
Skills:
7+ years of experience working in a data analytics role supporting marketing and web. Bachelor's Degree in Statistics, Math, Computer Science, Economics or related field; Master's or PhD preferred.
Fluency in data analysis, including defining KPIs, statistical and predictive modeling concepts, descriptive statistics, customer segmentation, and funnel analysis. Advanced technical proficiency in SQL, Databricks, Qlik Sense, Tableau, and GitHub. Hands-on expertise with Python and statistical modeling techniques (e.g. regression, classification, time series) to answer a wide range of measurement questions. Familiarity with market mix modeling and multi-touch attribution is a plus.
Hands-on experience with web analytics and clickstream data to support event tracking and instrumentation (e.g., Adobe Analytics, Segment, marketing attribution).
Meticulous attention to detail, with the ability to consistently produce accurate and error-free work even under tight deadlines. Ability to tell stories clearly and concisely with data, and how they drive business outcomes.
Demonstrates strong business acumen and curiosity. Ability to lead through influence across all levels and possess strong written and verbal communication skills. Outstanding communications skills with both technical and non-technical colleagues.
Excellent problem-solving skills and end-to-end quantitative thinking. Ability to manage multiple projects simultaneously to meet objectives and deadlines.
7+ years of experience working in a data analytics role supporting marketing and web. Bachelor's Degree in Statistics, Math, Computer Science, Economics or related field; Master's or PhD preferred.
Fluency in data analysis, including defining KPIs, statistical and predictive modeling concepts, descriptive statistics, customer segmentation, and funnel analysis. Advanced technical proficiency in SQL, Databricks, Qlik Sense, Tableau, and GitHub. Hands-on expertise with Python and statistical modeling techniques (e.g. regression, classification, time series) to answer a wide range of measurement questions. Familiarity with market mix modeling and multi-touch attribution is a plus.
Hands-on experience with web analytics and clickstream data to support event tracking and instrumentation (e.g., Adobe Analytics, Segment, marketing attribution).
Meticulous attention to detail, with the ability to consistently produce accurate and error-free work even under tight deadlines. Ability to tell stories clearly and concisely with data, and how they drive business outcomes.
Demonstrates strong business acumen and curiosity. Ability to lead through influence across all levels and possess strong written and verbal communication skills. Outstanding communications skills with both technical and non-technical colleagues.
Excellent problem-solving skills and end-to-end quantitative thinking. Ability to manage multiple projects simultaneously to meet objectives and deadlines.
Location: MTV (preferred) or SDG. Hybrid. 2 days in office (Tue-Thu preferred)
Top 3 required skills: Coding (SQL and Python)
Interview Process: 30 minute phone screen with me, 45 minute Technical interview with my team, then 60 minute case study with my team and case study send in advance (we will prepare and send by end of next week)
Top 3 required skills: Coding (SQL and Python)
Interview Process: 30 minute phone screen with me, 45 minute Technical interview with my team, then 60 minute case study with my team and case study send in advance (we will prepare and send by end of next week)