Careers

Description

      Supporting our web dev teams that are building AEM website, Java custom websites, and React single page websites that are having analytic issues. Must be strong in Java, React, AEM technology to troubleshoot and guide analytic instrumentations.

This role will support analytic developments across various web initiatives and also support loading social media data into Adobe analytic.

Qualifications

• 5+ Years of prior Adobe Analytics development experience.
• Experience in software engineering principles, frameworks and technologies.
• Experience working with data on multiple platforms and using SQL, ETL and reporting tools.
• Excellent communication skills.
• Minimum of a Bachelor’s degree or a degree in Computer Science Information
• Systems Business Engineering Marketing or a related technical discipline.

Support data strategy, analytics support, behavior analysis and omni channel measurement for assigned line of business. Manage large data sets, providing information-based decision logic and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications. Demonstrate strong technical/problem solving skills. Support multiple projects collaboratively. Produce business strategic results dashboards, create ad hoc reports, target audiences, for websites, mobile apps, social media, email, and on-line search initiatives.

Requirements:

Strong analytical, quantitative and problem-solving skills and ability to use statistical analysis and modeling.
3-4 years of experience conducting analyses of digital data using modern analytics tools and skills.
1-2 years of leadership experience
2+ years of big data wrangling in AWS, google studio or Azure environments using SQL
Ability to distill key insights, actions, and/or recommendations from analyses conducted.
In-depth knowledge of company operations and processes, with ability to articulate these processes to others.
Build strong relationships & communications with colleagues, as well as influencing customers on recommendations.

Preferred:
Masters Degree in Data Science, Business Analytics or similar field
Experience working on digital data ingestion and curation for data lakes
Familiarity with data visualization software such as PowerBi or Tableau
Familiarity with analytics tools such as Alteryx or DataIKU
Familiarity with web development technologies such as Java script tagging and HTML.
Familiarity with report automation technologies such as Adobe Report Builder, and configuring data feeds to automatically update reports.
Familiarity with Voice of Customer analytics tools such as Qualtrics

Title: Data Analyst

Location: Remote

Duration: 12 months

Essential Job Functions:

• Develop implementation requirements that fulfill business measurement plans for digital features

• Maintain json schema registry that feeds the enterprise “data dictionary” with implementation requirements

• Troubleshoot and provide tagging implementation guidance for data integrity issues

• Partner closely with developers and business stakeholders to implement, verify, validate, and maintain analytics tracking

• Collaborate with development teams and the business to integrate analytics tracking requirements into production cycles

• Perform quality assurance checks to guarantee clean data

• Support a data-driven culture by educating the digital organization on daily uses of data as a resource

Key Responsibilities:

Minimum Position Qualifications:

• 2+ years’ experience using leading industry analytics tools, such as Adobe Analytics or Google Analytics

• 2+ years’ experience working with tag management systems, such as Adobe DTM or Launch, Google Tag Manager, Tealium, or Ensighten

• Excellent oral/written communication skills

• Excellent attention to detail, a focus on quality, and the ability to follow through on projects to completion

• Proficient understanding of data dimensioning and metrics and the proper use of tracking variables

• Proficient knowledge of JavaScript and JSON

• Advanced debugging and troubleshooting skills using tools such as browser network tabs, Chrome Debugging tools, Firebug, or Charles Proxy

Job Description: 
As a Digital Analytics Analyst on the Digital Web Analytics & Tagging team, this individual will support digital analytics tagging from beginning to end from identifying KPIs, validating tags to developing reports and dashboards within Adobe Analytics. The analyst will sit at the intersection of our partners in the Digital Organization (digital product managers who are shaping the future of our platforms and interfaces for our four customer segments – consumer, small business, corporate and employee), our Technology partners (specifically our Adobe Analytics and Tealium teams who implement tags), and our Reporting & Analytics teams (responsible for assessing performance of our platforms and interfaces across our segments). The Digital Data Analyst is responsible for:
– Understanding customer features and guide Digital product owners in thinking through the reporting that will be needed and then translate into necessary tagging implications across our digital platforms and interfaces
– Ensuring a consistent tagging approach that enables desired reporting
– Validating tagging and usability within both Adobe Analytics UI as well as raw clickstream data – during feature releases as well as any necessary regression testing
– Building reports within Adobe Analytics to enable the Digital Organization with initial insights surrounding platform or interface performance
– Liaising with the Reporting teams to ensure smooth delivery of ongoing/customer level reporting, analytics and insights
– Define business requirements for evaluation and selection of analytics technologies and integration of new data assets
– Play an active role with TOS engineers to ensure critical data is available, with quality in the proper platforms with clear SLAs
– Working effectively with, Data Governance, IT and risk partners to drive initiatives to completion
– Key member of agile team to identify and manage tagging issues or roadblocks through to resolution
The ideal candidate will have a strong understanding and experience with implementation and usage of web analytics and tagging tools – primarily Adobe Analytics, Google Analytics, Tealium, Launch and others.
The Digital Enterprise Analytics team sits at the intersection of digital and data – a huge area of growth and importance at U.S. Bank. Come join a team whose mission is to run world-class targeted experiences and analytics to drive digital across the enterprise and to have fun doing it!

Preferred Skills/Experience:
• 5+ years of hands-on JavaScript development experience.
• Experience with one or more Web/Digital Analytics Tools (e.g. Adobe SiteCatalyst, Google Analytics etc.) and Tag Management System (e.g. Tealium, Ensighten, Adobe Launch, Google Tag Manager etc.).
• Good understanding of the characteristics of web/mobile clickstream data, such as customer identification, timestamp management, tracking beacon design, event serialization, variable scope etc., is a plus but not required.
• Mobile Programming background (iOS or Android) is a plus but not required.
• Fit into a team that has embraced continuous delivery
• Experience using modern and functional programming styles

Location: Remote

Job Description:

Preferred Qualifications
3-6+ years of experience with hands-on data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses for customer segmentation, user growth, and outbound marketing campaign evaluation
An MBA or Master’s degree in economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands
Management consulting experience or a similar career requiring one to present data-driven insights to business audiences
Communication skills and stakeholder management.
Experience translating quantitative findings into actionable insights and influence business decisions
This role will work cross-functionally with marketing, product, data engineering, and research teams to provide insightful analytics and make business recommendations.
Minimum Qualifications
At least 4 years of hands-on experience with Adobe suite (e.g. Adobe Analytics, Adobe Experience Platform, etc.)
4 years of experience with data analysis, data science, decision science, or similar quantitative fields
A degree in economics, operations research, mathematics, statistics, engineering, psychology, or another field with quantitative roots and demands

Job Description :

Analyzes data, assesses trends and develops actionable insights and recommendations in support of business objectives.

Core Responsibilities:

1. Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads projects through completion. Delegates tasks and provides tactical and strategic guidance to peers.

2. Implement Adobe Analytics and tagging structure to perform analysis on visitors’ web journey.

3. Perform and consult business on web experimentation to optimize website design

4. Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.

5. Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.

6. Prepares and delivers visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.

7. Develops, owns and manages recurring analytic or reporting processes.

8. Participates in special projects and performs other duties as assigned.

Additional skills: Proactively identify trends & insights to proposes ideas and experimentations to support POD to develop new or optimize existing strategy

Qualifications:

•Minimum of five years related work experience.

•Undergraduate degree or equivalent combination of training and experience.

Additional Job Description

•Python, SQL, AWS, HUE, SAS, Tableau, Adobe Analytics and data engineering skills preferred.

Denver, Colorado|Dallas, Texas

8-12+ Months Contract

Job Duties and Responsibilities:

This role falls in the Product Marketing Operations team, which is responsible for growing a sophisticated, best-in-class digital marketplace for all retail wireless brands. This business unit will be a growth engine for our organization’s larger retail wireless ambitions; we have high expectations for this group.
As a Data Analyst, you will primarily be responsible for providing reliable, insightful, and meaningful reports and dashboards to leadership on the Product Marketing and broader Retail Wireless teams to help us drive continuous improvements to our eCommerce websites and customer apps. This position requires a high degree of ownership, communication, and attention to detail.
Responsibilities:
This person must be self-motivated, curious, independent, detail-oriented and driven to carry out the following primary responsibilities:
• Define and create performance reporting for website and apps for all retail wireless brands
• Analyze data and build models to provide business insights and assist leadership in making decisions
• Responsible for collecting data from multiple sources: Adobe Analytics, Data Warehouse, Marketing, Tableau, etc.
• Measure and track web traffic, marketing initiatives and campaigns
• Develop and explore new analytics to further understand site performance and usage
• Partner with ecomm and marketing teams to define success metrics on the website, and provide timely web analytics reporting to key stakeholders
• Recommend web page optimization based on metric performance
• Approach web content and user flow with a Test, Learn, Optimize methodology
• Stay up-to-date on the latest digital and analytics trends
• Champion efforts effectively across multiple teams, building strong working relationships with partners in Retail Wireless, IT, Business Operations, Marketing, Customer Experience Operations, Finance, and more

Skills, Experience and Requirements:

• Bachelor’s degree preferred and 2-3 plus years of related experience in a relevant field such as eCommerce, Business Operations, Analytics, Statistics, Data Science
• Strong organization, project management, problem solving, and communication skills to address a wide variety of audiences
• Experience working with web analytics software such as Adobe, Google, SQL, etc. and multiple data sources
• Outstanding problem solving and analytical skills including talent for conducting research, analyzing data, developing hypotheses, and synthesizing recommendations
• Strong data visualization and dashboarding experience
• Meticulous organizational skills, high attention to detail, and delivery on commitments
• Excellent customer service, technical support, and interpersonal skills
• Very adaptable, and able to handle multiple competing priorities and duties in a fast-paced, result-driven, time-critical environment
• Experience working as a digital analyst preferred
• Past wireless and/or digital marketing/eCommerce experience a plus

Overall 6- 12 years of development experience in Reporting and Data Analytics.
Technical Skills [ Rating >= 7/10]

Candidate MUST be very strong and hands on experience in each of following areas:
5+ years of experience in JavaScript, CSS and JSON
Good knowledge and solid hands-on experience in Adobe Analytics and Adobe Launch
Currently/actively managing Adobe Launch or working on migration from Adobe DTM to Adobe Launch in the last 12 months
Experience in SEO is plus

Soft Skills:

Must have excellent communication (written & verbal)
Must have excellent presentation skill
Must be a team player
Must have good professional ethics
Manage offshore team as well as project deliverables

Job Description:

Requirement analysis
Must be able to talk in terms of business and able to guide them from analytics perspective.
Must be able to define meaningful KPIs.
Designing and define KPIs
Tagging:
Preparation of Tagging Document
Tagging Implementation (Rules and Data Elements)
Tagging using the tag management tool “Adobe Launch”
Reporting
Data pulled from Adobe Analytics, Google Analytics and Splunk.
Report Generation: Data Visualization using Word, Excel and PowerPoint.
Hands on experience in working with Tableau, integration between Adobe / Google analytics with Tableau
Provide effective insights
Monthly report (multiple) generation
Data / issue Analysis
Analytics funnel updates
Managing adhoc requests
Preview, Validate and Publish
Data Validation and Fixes
Search Engine optimization:
Must have extensive experience in SEO
Must have followed best practices
Co-ordinate with the business and project development team (onsite and offshore) for code changes
Able to manage and guide a team across multiple projects/enterprise releases
Technical and Process Documentations wherever required.

Location: Remote

Duration of Project: 6+ Months Contract – C2C

Job Description:

3-5 years with working directly with digital analytics tools like adobe analytics, google analytics, webtrends or similar tools

• A curious, organized, methodical, and proactive mind. You like to use substantiated data to both identify and solve problems, rather than trust your gut alone, you can explain your work clearly both in person and in writing with strong communication skills.

• Understanding of key user experience tools like heatmaps, AB testing and VOC survey tools like Forsee, Optimizely, Test & Target, Crazy Egg etc.

• Knowledge of visualization tools like Tableau, Microstrategy, Qlik, Datarama and DOMO.

• Experience with QA for adobe analytics

• Familiarity with Tag Management systems like Adobe DTM, Google Tag Manger and Tealium

• Knowledge of SQL preferred

• Knowledge of big data technologies preferred

Location: Weehawken, NJ

Must Have Skills:

1. Adobe Analytics 2. Adobe Launch 3. JavaScript

Detailed Job Description:

Adobe Analytics, Adobe Launch, Java Script hands on knowledge. Should know working with data elements, rules, event based rule. Applied Adobe Analytics tools like Classifications, Processing Rules etc.