Audience Analyst

[Qualifications]

Must have 10 - 12 years of development and project handling experience using Adobe AEM (AMS & Cloud) and proficient in Java/J2EE.

[Job Overview]:

1.     Looking for AEM Senior Technical Specialist with strong experience in AEM stack, such as AEM modules, Granite UI, OSGi, and JCR.

2.     Strong AEM product & architectural exposure to lead teams, assign task and guide technically in BAU/Enhancements.

3.     Prior experience and strong articulation skills to Lead teams in technical discussions with Business and Engineering teams.

[Primary Skills]:

MUST HAVE

4.     10 – 12 years of development experience on Adobe AEM/CQ experience implementing full cycle Adobe AEM projects.

5.     Extensive experience in AEM architecture & technology suite, Sling web framework & Apache Felix OSGi framework, DAM, Workflow (custom, OOTB), multi-site manager (MSM), Dispatcher filter & mapping rules.

6.     Solid experience with AEM building blocks including templates, components, dialogs, widgets, pages, experience fragments & bundles.

7.     Experience in integrating AEM with other platforms, technologies, third-party systems, APIs, different internal servers, databases using both frontend (ajax, cookies) & backend components (servlet, OSGI, Sling)

8.     Troubleshoot complex issues by analysing Heap & Thread dumps.

9.     Provide architectural guidance & suggestion around server environment configurations, data management, caching, CDN usage, security, etc. 

10. Excellent written and verbal communication skills.

NICE TO HAVE

1. AEM Sites Developer Certified.
2. Familiarity in AMS Cloud Manager.
3. Experience integrating Adobe Analytics, Target, Campaign.
4. Experience with data migration in AEM.
5. Experience with Junit and other testing frameworks in AEM.
6. Familiarity with front-end technologies, HTML, CSS, JavaScript
7. Experience with JIRA / ROD ticket tracking tools.

We are seeking a highly motivated and creative individual to join our marketing team as a Digital Marketing Executive. The ideal candidate will be passionate about digital marketing, possess strong analytical skills, and have a good understanding of various digital marketing channels and techniques.

Key Responsibilities:

1. Social Media Management:

• Develop and implement social media strategies to increase brand awareness and engage with the target audience.
• Create and schedule engaging content across various social media platforms such as Facebook, Twitter, Instagram, LinkedIn, etc.
• Monitor social media channels for trends and opportunities to engage in relevant conversations.
• Analyze social media metrics and generate reports to track performance and optimize strategies.

1. Content Marketing:

• Collaborate with the content team to create compelling and SEO-friendly content for blogs, website, email campaigns, etc.
• Optimize content for search engines and ensure it aligns with the overall digital marketing strategy.
• Utilize content marketing tools and platforms to distribute content effectively and reach the target audience.

1. Email Marketing:

• Plan and execute email marketing campaigns to nurture leads, promote products/services, and drive conversions.
• Segment email lists based on demographics, behavior, etc., to deliver targeted and personalized campaigns.
• Monitor email deliverability, open rates, click-through rates, and other key metrics to optimize campaign performance.

1. SEO (Search Engine Optimization):

• Conduct keyword research to identify opportunities for improving website ranking and driving organic traffic.
• Optimize website content, meta tags, and other on-page elements to improve search engine visibility.
• Monitor website performance using SEO tools and make recommendations for continuous improvement.

1. Paid Advertising:

• Assist in managing paid advertising campaigns across platforms such as Google Ads, Facebook Ads, etc.
• Monitor campaign budgets, performance metrics, and ROI to optimize ad spend and achieve business goals.
• Stay updated on the latest trends and best practices in digital advertising.

Requirements:

• Bachelor's degree in Marketing, Communications, or related field.
• Proven experience or internship in digital marketing roles is a plus.
• Strong understanding of digital marketing concepts and techniques.
• Proficiency in social media management tools, email marketing platforms, and SEO tools.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Analytical mindset with the ability to interpret data and make data-driven decisions.
• Creative thinking and problem-solving skills.

Role Title: Developer - Guidewire Integration-Config

Role Purpose

We are looking for a Developer for our Claims Guidewire team, who is a technology enthusiast, and eager to be part of a culture of modern software engineering practices, continuous improvement, and innovation.

As a Developer, you will be part of a dynamic engineering team and work on development, maintenance, and transformation of our strategic Claims Guidewire platform. You will learn about software applications, technology stack, ways of working and standards.

Key Accountabilities

·        Deliver software development tasks for Claims Guidewire applications, in the areas of Integration and Configuration, with expected quality measures and timeframe, e.g., coding, writing unit test cases (G-Unit) and unit testing, debugging and defect fixing, providing test support, providing release support.

·        Communicate with technical leads and IT groups for understanding the project’s technical implications, dependencies, and potential conflicts.

·        Research issues reported in Production, perform root cause analysis and document them, respond to and resolve technical issues in a timely manner.

·        Perform versioning of the release updates and resolve the code conflicts while merging and promoting the code to higher environments.

·        Develop their technical and functional knowledge on Claims Digital Guidewire platform.

·        Understand and follow Guidewire’s cloud standards for application development.

·        Active participation in team meetings like daily stand-ups, risk forums, planning sessions and retrospectives.

Skills & Experience

·        3+ years of development experience on Guidewire cloud platform and applications, Guidewire certification preferred.

·        Hands on development expertise on Guidewire ClaimCentre with configuration and integration

·        Experience in Guidewire platform (Gosu scripting / Edge APIs / UI / Data Model)

·        Should have knowledge on Admin data loading, Assignment and Segmentation Rules, Pre-update and Validation rules, Authority limits, Financials (checks, reserves, recoveries …)

·        Good experience on LOB configuration and related type-lists

·        Good experience on integration components including plug-ins, messaging (and supporting business rules), batches, REST APIs and programs that call the Guidewire application APIs.

·        Experience on any database Oracle / SQL Server and well versed in SQL.

·        Experience of working in a CI/CD setup and related tools/technologies

·        Insurance domain knowledge with Property & Casualty background preferred.

Location- Gurugram

CTC- Upto 25lpa

Responsibilities:

.Create exclusive distributors, exclusive super stockiest and business associates for the company towards business growth.

.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.

.Finding and developing new markets and improving sales.

.Keep observing stock reports, inventory, product orders, re-order etc.

Requirements:

.Bachelor's degree in business, marketing or a related field.

.Experience in sales, marketing or related field.

.Strong communication skills.

.Proficient in Word, Excel, Outlook, and power point.

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis