Email Process Executive

Job Title: Channel Sales Manager - ERP & CRM Solutions

Location: Mumbai, Hyderabad, Remote

Experience: 4-6 yrs

Job Summary:

We are seeking a highly motivated and experienced Channel Sales Head to drive the channel partner strategy, business development, and revenue generation for our ERP and CRM product offerings across the Middle East, Asia, South Africa, US, and UK. This role requires a strategic leader with a strong background in building and managing channel ecosystems, driving sales through partners, and executing regional go-to-market plans. The ideal candidate will have a deep understanding of the ERP and CRM landscapes and the ability to recruit, enable, and scale high-performing partners while delivering measurable sales revenue growth.

Key Responsibilities:

Channel Partner Strategy & Development:

• Develop and execute a comprehensive channel sales strategy across the Middle East, Asia, South Africa, US, and UK regions to drive revenue growth for ERP and CRM solutions.
• Establish and nurture strong relationships with new and existing partners to drive sales and product adoption.
• Lead the development of go-to-market strategies and regional sales plans in collaboration with the channel partners.

Partner Enablement & Training:

• Design and implement training programs to ensure that partners have the skills and knowledge to successfully sell, implement, and support ERP and CRM solutions.
• Provide ongoing support and resources to partners, including sales enablement tools, marketing materials, and product updates.
• Drive partner certification programs and performance management to maintain a high standard of service delivery and sales performance.

Revenue Growth & Sales Execution:

• Work closely with channel partners to ensure they meet or exceed their sales quotas and targets.
• Collaborate with internal sales teams and marketing to support joint sales efforts, drive pipeline development, and close deals.
• Take ownership of generating sales revenue for the organization by fostering a results-driven sales culture among channel partners.
• Manage sales forecasts and ensure timely reporting of pipeline and partner performance to senior leadership.

Partner Ecosystem & Relationship Management:

• Build and maintain long-term, strategic relationships with key partners and stakeholders within the partner ecosystem.
• Conduct regular performance reviews with partners, identify areas for improvement, and work together on corrective actions to drive mutual success.
• Act as the point of contact for critical partner escalations and address any issues that may impact partner satisfaction or sales performance.

Market & Competitive Insights:

• Stay informed about market trends, customer needs, and competitor activities in the ERP and CRM markets to inform channel strategies.
• Provide insights on regional market dynamics and customer requirements to adjust product offerings and improve partner sales tactics.
• Collaborate with product management and marketing teams to align product messaging and promotional strategies with regional channel partners.

Reporting & Analysis:

• Provide regular reports on partner sales activities, progress against goals, and forecasts to senior leadership.
• Analyze channel performance data to identify trends, areas for improvement, and new business opportunities.

Key Qualifications:

Experience:

• 5-6 years of experience in channel sales, partner management, or business development, with a proven track record of success in the ERP and CRM markets.
• Extensive experience in managing channel partners across the Middle East, Asia, South Africa, US, and UK regions.

Skills:

• Strong leadership skills with the ability to influence and align cross-functional teams and partners.
• In-depth knowledge of ERP and CRM product landscapes, business processes, and customer needs.
• Excellent communication, negotiation, and interpersonal skills with the ability to build relationships at all levels.
• Ability to develop and execute strategic plans while maintaining focus on day-to-day operational execution.
• Results-driven, with the ability to manage multiple priorities and achieve sales targets.

Education:

• Bachelor's degree in Business, Information Technology, or a related field. MBA preferred.

Travel:

• Ability to travel as needed to engage with partners and support regional sales efforts.

Personal Attributes:

• Highly self-motivated with a passion for building and scaling business through partnerships.
• Collaborative, yet able to work independently and manage multiple complex relationships.
• Strong business acumen with a focus on results and long-term business growth.
• Excellent problem-solving and conflict-resolution skills.
• Ability to thrive in fast-paced, rapidly evolving environments.

• Knowledge of OO JavaScript
• 7.2. 10+ years hands-on experience with web development using
• HTML5, JavaScript (React, Preact.js, Redux, Redux, Vue.js,
• CSS3, SignalR, Socket.io)
• 7.3. Experience building responsive design layouts using a formal
• framework like Bootstrap and familiarity with best practices
• (web security concepts, ensuring browser & device
• compatibility, etc.)
• 7.4. Experience in creating secure pre-compiled script libraries.
• 7.5. Familiar with development and debugging tools for cross-
• browser issues
• 7.6. Experience integrating with RESTful APIs for server-side

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

Skills:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of ECMAScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

Must skills:

Hands- on in the following:

• Java 8/J2EE
• Spring boot
• Gradle/Maven
• REST API
• ORM- hibernate/ JPA
• Unit Testing and Integration Testing- Junit/ TestNG

Good to have:

Hands-on in the following:

• CI/CD pipeline deployment
• Messaging- ActiveMQ/RabbitMQ/MQ
• DB2
• Kafka
• NoSQL framework exposure

• Exercises judgment in selecting methods and techniques for obtaining solutions.
• Perform various types of testing like sanity, functional, exploratory, integration, and system testing to ensure that the product delivered is of high quality.
• Support the Planning of test schedules in accordance with project scope/delivery dates and ensure that the timelines are adhered to without fail.
• Have very good knowledge of SDLC and STLC life cycles and working knowledge in agile.
• Work as part of cross-functional, passionate agile project teams to ensure quality is driven into the heart of the development process from requirements definition through to delivery.
• Contributing toward predictable delivery of quality releases.
• Be meticulous about documentation and maintaining a robust log of all test cases and test results.
• Very good at manual testing of web and windows based applications, web services testing, and integration testing of a complex system, iOS and Android applications.
• Defect Tracking and Reporting of bugs to developers so as to fix it and follow-ups.
• Lesson Learnt documents (based on testing inputs from the previous project)
• Suggestion Documents (to improve software quality)
• Leads test processes and delivers results to necessary stakeholders.
• Reviews changes or upgrades to existing tests, tools, and testing protocols.
• Good to have knowledge over Stockbroking applications, financial and capital market domain.

Desired Technical Skills and Experience

• Experience with Web Applications, iOS, and Android Applications.
• Passionate about understanding the application end to end.
• Effective communication skills to interact with internal stakeholders.
• Experience with Agile/Waterfall methodologies.
• Adaptable to the current requirement.
• High-level problem-solving skills, and the ability to project manage Knowledge of defect management process
• Strong understanding of software concepts and ability to quickly grasp new products and technologies.

Looking candidated from service base or service division of any company.
Minimum Qualification​:

• Hands-on working on Java ( {Language understanding - Java 8, Lambdas, Collections, popular frameworks & libraries}, JVM, GC tuning, performance tuning)
• Worked on REST frameworks/libraries like Spring MVC, Spring Boot, Dropwizard, REST Express etc
• Worked on Relational data stores viz. MySQL, Oracle or Postgres
• Worked on Non-relational data stores viz. Cassandra, HBase, Couchbase, MongoDB etc
• Worked on caching infra viz. Redis, Memcached, Aerospike, Riak etc
• Worked on Queueing infra viz. Kafka, RabbitMQ, ActiveMQ etc

• Managing and designing the reporting environment, including data sources, security, and metadata.
• Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data
• Establish KPIs to measure the effectiveness of business decisions.
• Work with management to prioritize business and information needs.
• Provide data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Provide expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization.
• Responsible for developing and executing tools to monitor and report on data quality.
• Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions
• Provide support to Tech teams in managing security mechanisms and data access governance
• Provides technical support and mentoring and training to less senior analysts.
• Derive insights through A/B tests, funnel analysis, and user segmentation

Key Criteria:

• 3+ years in a data analyst position, preferably working as a Data Analyst in a fast-paced and dynamic business setting.
• Strong SQL-based querying languages (MYSQL, PostgreSQL) and Excel skills with the ability to learn other analytic tools.
• Understanding of Scripting experience in (Python, Perl, JavaScript, Shell);
• Skilled in statistical and econometric modeling, performing quantitative analysis, and technological data mining and analysis techniques.
• This role requires a mixture of data schema knowledge and technical writing activities paired with hands-on and collaborative work with Systems Analysts. Technical exposure through requirements, QA, or development software lifecycles are also a plus
• Demonstrated analytical skills. Ability to work with large amounts of data: facts, figures, and number crunching. Ability to see through the data and analyze it to find conclusions.
• Excellent attention to detail. Data needs to be precise. Conclusions drawn from data analysis will drive critical client decisions
  Domain knowledge in the Internet of Things is a plus
• Managing a junior team of analysts. It is crucial that they have exceptional writing and verbal communication skills to perform their job duties and manage others.

• B.E/ B.Tech./ M. E/ M. Tech from any recognized university in India.
• Minimum 60% in Graduation or Post-Graduation
• SQL knowledge and hands-on experience is a must.
• Great interpersonal and communication skill

Who we look for

• Strong technical expertise and building ability 
• Ability to envisage how your technical knowledge could be applied outside of academia - with a focus on impact/disruption
• Ability to explain and articulate complex ideas, simply
• Ability to digest difficult questions/information