Data Analyst

Strong Power Bi, Power App and SQL skills,

• Design and build compelling analyses, trending and/or forecasting reports using Microsoft Power BI.

• Design and build apps using power apps and power automate.

• Assist in the publishing of metrics dashboards by identifying, analyzing and interpreting trends or patterns in complex data sets.

• Define BI development objectives by analyzing user requirements while envisioning system features and functionality.

• Translate business needs into technical requirements, clearly communicate probable designs and create prototypes.

• Follow data and reporting performance optimization and tuning best practices.

• Conduct analytical activities of system data.

• Conducts complex data analysis and evaluates intangibles providing management with fact-based information.

• Knowledge of the supply chain domain.

• Proven, effective analytical skills

• Ability to work effectively under time constraints and multitask.

• Ability to work collaboratively across multiple functions and departments within the organization.

Role - Senior Analytics Executive

Experience - 1-2 years

Location - Open (Remote working option available)

About Company :-

Our team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to Google's business. Our team operates in a seamlessly integrated way across strategy, planning, investment, creative, business sciences and analytics, data and technology. The profile of people who work are world class, committed to establishing a new high water mark in the media industry.

About the role/ Some of the things we'd like you to do:

- Support the Analytics team and other stakeholders with analytics agendas impacting campaigns, measurement frameworks, and campaign optimization.

- Conduct thorough data analysis using various tools and software within MFG to provide insights and recommendations that align with client needs.

- Collaborate with internal stakeholders across disciplines and countries to understand client objectives, providing support and expertise in data and analytics while identifying opportunities for advanced analytics solutions.

- Formulate strategic recommendations with the team based on gathered insights, and support the delivery of reporting for clients.

- Continuously improve project performance and processes by collaborating with the team to develop new tools and solutions.

About yourself/ Requirements:

- Bachelor's degree in a related quantitative field (e.g. Statistics, Business Analytics, Economics, Computer Science, etc.)

- 1-2 years of relevant work experience in data analysis; digital media experience desired

- Strong knowledge of various data analysis tools and software (e.g., Excel, SQL, R, Python, Tableau).

- Is proficient in statistical principles and how they apply to tasks/work items.

- Excellent problem-solving skills and the ability to analyze complex data sets.

- Strong communication and interpersonal skills, with the ability to present data-driven insights to both technical and non-technical audiences.

- Ability to work independently and as part of a team, with strong collaboration skills.

- Demonstrated ability to manage multiple projects and prioritize tasks effectively.

- Passion tor continuous learning and staying current with industry trends and best practices in analytics.

• Your responsibilities:
• Build, improve and extend NLP capabilities
• Research and evaluate different approaches to NLP problems
• Must be able to write code that is well designed, produce deliverable results
• Write code that scales and can be deployed to production

• Fundamentals of statistical methods is a must
• Experience in named entity recognition, POS Tagging, Lemmatization, vector representations of textual data and neural networks - RNN, LSTM
• A solid foundation in Python, data structures, algorithms, and general software development skills.
• Ability to apply machine learning to problems that deal with language
• Engineering ability to build robustly scalable pipelines
• Ability to work in a multi-disciplinary team with a strong product focus

Company Description

Miratech is an IT services and outsourcing company that provides services to multinational organizations all over the world. Our highly professional team achieves success with 99% of IT projects in financial, telecommunication, and technology domains. Founded in 1989, Miratech has its headquarters in New York, USA; with R&D centers in Poland, Philippines, Slovakia, Spain, and Ukraine. Technical complexity is our passion, stability is our standard, friendly work environment is our style. We empower our employees to grow together with the company, to achieve ambitious goals, and to be a part of the international relentless team which helps the visionaries to change the world.

Job Description

We are looking for a Bot Developer to join our team, who will help us working on solutions and implementing technologies.

The ideal candidate will have strong knowledge of technologies and programming languages through which conversational Chatbots are developed. A good understanding of dialog systems and development using Microsoft framework to develop and program conversational Chatbots is required.

Responsibilities:

• Designing and implementing voice and chat bots
• Troubleshoot and resolve issues related to voice/chat bots.
• Assist in planning and estimating development projects/sprints.
• Take part in code reviews and contribute to team knowledge sharing.
• Provide technical guidance and support to other team members.
• Work in an agile environment, using methodologies like Scrum or Kanban

Qualifications

• 2-3 years of experience in BOT development using node.js
• Strong experience in developing BOTs using Azure Bot Framework.
• Conversational AI - ML Based Using Azure Cognitive Services
• Conversational AI - ML Based services to build Conversational Bot using LUIS.
• Experience in working with REST API calls, JSON, and systems integration.

Secondary Skills

• Ability to work with business and technology teams to build and deploy an analytical solution as per client needs.
• Ability to multi-task, solve problems and think strategically.
• Strong communication and collaboration skills

  Strong knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc. 

 Sound Knowlegde querying databases and using statistical computer languages: R, Python, SQL, etc. 

 Strong understanding creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.