Bitly
Senior Data Analyst
Bitly, New York, New York, us, 10261
The RoleBitly is seeking a highly skilled and experienced Senior Data Analyst to join the BI & Analytics team to help harness the power of data and advanced technologies to drive strategic initiatives and improve decision-making across the organization. The Senior Data Analyst plays a crucial role in the organization and will have the opportunity to work on improving and scaling multiple B2B & B2C product experiences. Through experimentation, user behavioral analysis, advanced statistical & data science modeling, and dashboard development, you will surface strategic product insights and recommendations that will increase adoption, engagement, and retention of our customers. This position involves working with large and complex datasets, using various analytical and statistical approaches, and collaborating with a diverse set of cross-functional partners to solve a wide array of challenging business and product problems.
You will be responsible for utilizing your expertise in data analysis, experimentation, statistical modeling, and sophisticated measurement (e.g. causal inference) to enable data-driven decision-making and ensure that data becomes a strategic asset within the company.
Bitly supports every country in the world and every platform imaginable. Our systems are built to process an enormous amount of data. The Business Intelligence and Analytics team takes this challenge seriously and aims to create a platform that makes data easily accessible to answer even the thorniest business questions.What You'll Do
Data Analysis & Interpretation
Perform in-depth data analysis to extract valuable insights, and identify trends, patterns, and outliers. Present findings.
Utilize statistical and data analysis techniques to extract meaningful insights from data.
Collaborate with various business teams to understand their data needs and provide guidance on leveraging data for decision-making.
Utilize advanced SQL & Python expertise to analyze data in the Data Warehouse.
Ensure data quality and integrity through data cleaning and validation processes.
Storytelling with Data
Translate complex data insights into clear, concise, and actionable reports, dashboards, and visualizations.
Craft narratives that convey the significance of data-driven findings. Present these findings to senior leaders in an easy to consume manner.
Reporting & Dashboard Creation
Generate regular reports and dashboards to provide stakeholders with up-to-date information.
Collaborate with business partners to define key performance indicators (KPIs) and metrics for tracking.
Keep a pulse on performance metrics and KPIs and have a view of the business, product, and customer base to understand and explain trends
Advanced Analytics & AI/ML
Leverage advanced analytics techniques, including machine learning and artificial intelligence, to develop predictive, prescriptive, and classification models with experience in ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn)
Implement AI/ML solutions to automate and enhance decision-making processes.
Apply analytical methods and machine learning algorithms such as regressions, clustering, classification, optimization, dimensionality reduction and other advanced analytics techniques.
Cross-functional Collaboration
Collaborate with various departments (e.g., product, marketing, finance, sales) and bring data supported point-of-view and thought leadership into conversations
Drive decision-making by providing data-driven insights and recommendations.
Data Security & Compliance
Ensure compliance with data protection regulations and internal data security policies.
Implement measures to protect sensitive data from unauthorized access.
Continuous Learning & Improvement
Stay updated on the latest data analysis tools, techniques, and best practices.
Seek opportunities to enhance analytical skills and knowledge.
Who You Are
4+ years of experience in BI and Analytics
Strong analytical and problem-solving skills, with the ability to derive actionable insights from complex data sets
Proficiency in data visualization tools, preferably Looker and Looker Studio
Experience with advanced analytics, machine learning, and AI technologies
Excellent communication and storytelling skills, with the ability to convey technical concepts to non-technical stakeholders
Strong project management skills with the ability to prioritize and execute multiple projects simultaneously
Expertise in SQL, Python, and Data Warehousing - you write reproducible code and have a tendency toward automation
Attention to detail and ability to work with large datasets
Consulting experience welcomed
Experience with Saas is welcomed
Experience with applying analytical methods and machine learning algorithms such as regressions, clustering, classification, optimization, dimensionality reduction and other advanced analytics techniques
US Employee Benefits
Your benefits start on Day 1!
Health & Wellbeing
Inclusive health, dental, and vision plans built to support diverse lifestyles
Employer contribution to HSA plans
Generous paid parental leave
Enhanced support for reproductive health, family planning, and new parents
Robust mental health support and Employee Assistance Program (EAP) with confidential counseling services
Comprehensive well-being benefits including reimbursement program
Flexible PTO policy and company breaks - At Bitly, we believe rest and relaxation are essential for rejuvenating the creative spirit that sets us apart
Inclusion & Belonging
Impactful connections and community building through our Employee Resource Groups
Global DEI programming
Company-sponsored events to connect Bitizens together
Financial
401k with up to 4% employer match, access to financial professionals to offer our employees the opportunity to plan for a strong financial future well beyond their working years
Company Stock Options
Life, Short-term Disability and Long-term Disability options
Flexible workspace support provided, including home office, cell phone and WiFi service reimbursement
Coworking reimbursement for eligible employees
Voluntary Benefits: Pet Insurance, LegalShield, IDShield, Hospitalization, and Accident coverages
Reimbursement for professional development
Eligibility & Closing
US applicants must be currently authorized to work in the United States on a full-time basis.
*** Must live in or be willing to relocate to one of the following states to be eligible for hire: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, New York, New Jersey, North Carolina, Pennsylvania, Texas, Vermont, Virginia, Washington ***#LI-MN1 #LI-Remote
#J-18808-Ljbffr
You will be responsible for utilizing your expertise in data analysis, experimentation, statistical modeling, and sophisticated measurement (e.g. causal inference) to enable data-driven decision-making and ensure that data becomes a strategic asset within the company.
Bitly supports every country in the world and every platform imaginable. Our systems are built to process an enormous amount of data. The Business Intelligence and Analytics team takes this challenge seriously and aims to create a platform that makes data easily accessible to answer even the thorniest business questions.What You'll Do
Data Analysis & Interpretation
Perform in-depth data analysis to extract valuable insights, and identify trends, patterns, and outliers. Present findings.
Utilize statistical and data analysis techniques to extract meaningful insights from data.
Collaborate with various business teams to understand their data needs and provide guidance on leveraging data for decision-making.
Utilize advanced SQL & Python expertise to analyze data in the Data Warehouse.
Ensure data quality and integrity through data cleaning and validation processes.
Storytelling with Data
Translate complex data insights into clear, concise, and actionable reports, dashboards, and visualizations.
Craft narratives that convey the significance of data-driven findings. Present these findings to senior leaders in an easy to consume manner.
Reporting & Dashboard Creation
Generate regular reports and dashboards to provide stakeholders with up-to-date information.
Collaborate with business partners to define key performance indicators (KPIs) and metrics for tracking.
Keep a pulse on performance metrics and KPIs and have a view of the business, product, and customer base to understand and explain trends
Advanced Analytics & AI/ML
Leverage advanced analytics techniques, including machine learning and artificial intelligence, to develop predictive, prescriptive, and classification models with experience in ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn)
Implement AI/ML solutions to automate and enhance decision-making processes.
Apply analytical methods and machine learning algorithms such as regressions, clustering, classification, optimization, dimensionality reduction and other advanced analytics techniques.
Cross-functional Collaboration
Collaborate with various departments (e.g., product, marketing, finance, sales) and bring data supported point-of-view and thought leadership into conversations
Drive decision-making by providing data-driven insights and recommendations.
Data Security & Compliance
Ensure compliance with data protection regulations and internal data security policies.
Implement measures to protect sensitive data from unauthorized access.
Continuous Learning & Improvement
Stay updated on the latest data analysis tools, techniques, and best practices.
Seek opportunities to enhance analytical skills and knowledge.
Who You Are
4+ years of experience in BI and Analytics
Strong analytical and problem-solving skills, with the ability to derive actionable insights from complex data sets
Proficiency in data visualization tools, preferably Looker and Looker Studio
Experience with advanced analytics, machine learning, and AI technologies
Excellent communication and storytelling skills, with the ability to convey technical concepts to non-technical stakeholders
Strong project management skills with the ability to prioritize and execute multiple projects simultaneously
Expertise in SQL, Python, and Data Warehousing - you write reproducible code and have a tendency toward automation
Attention to detail and ability to work with large datasets
Consulting experience welcomed
Experience with Saas is welcomed
Experience with applying analytical methods and machine learning algorithms such as regressions, clustering, classification, optimization, dimensionality reduction and other advanced analytics techniques
US Employee Benefits
Your benefits start on Day 1!
Health & Wellbeing
Inclusive health, dental, and vision plans built to support diverse lifestyles
Employer contribution to HSA plans
Generous paid parental leave
Enhanced support for reproductive health, family planning, and new parents
Robust mental health support and Employee Assistance Program (EAP) with confidential counseling services
Comprehensive well-being benefits including reimbursement program
Flexible PTO policy and company breaks - At Bitly, we believe rest and relaxation are essential for rejuvenating the creative spirit that sets us apart
Inclusion & Belonging
Impactful connections and community building through our Employee Resource Groups
Global DEI programming
Company-sponsored events to connect Bitizens together
Financial
401k with up to 4% employer match, access to financial professionals to offer our employees the opportunity to plan for a strong financial future well beyond their working years
Company Stock Options
Life, Short-term Disability and Long-term Disability options
Flexible workspace support provided, including home office, cell phone and WiFi service reimbursement
Coworking reimbursement for eligible employees
Voluntary Benefits: Pet Insurance, LegalShield, IDShield, Hospitalization, and Accident coverages
Reimbursement for professional development
Eligibility & Closing
US applicants must be currently authorized to work in the United States on a full-time basis.
*** Must live in or be willing to relocate to one of the following states to be eligible for hire: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, New York, New Jersey, North Carolina, Pennsylvania, Texas, Vermont, Virginia, Washington ***#LI-MN1 #LI-Remote
#J-18808-Ljbffr