Softobiz is hiring for an FRESHER entry level Junior Data Analyst and Market Analyst role in India

Position: Junior Data Analyst and Market Analyst

Company: Softobiz

Location: Kochi, Kerala, India

Job type: Full-time

Job mode: On-site

Job requisition id: CFCO - 1532

Years of experience: 0-2 Years (atleast have 1 internship)

Company Description

• Softobiz operates as an enterprise-grade digital transformation firm specializing in IT services, cloud modernization, and advanced software consulting solutions.

• The company focuses heavily on enabling organizations to transition into AI-first engineering environments where institutional capabilities compound over time.

• Softobiz assists global enterprises with platform modernization, full lifecycle AI adoption, and establishing robust Global Capability Centres within India.

• Their core operational pillars encompass AI-first product engineering, custom application development, cloud platform transformation, and enterprise data engineering workflows.

• Moving beyond traditional outsourcing metrics that prioritize simple execution speed or cost cutbacks, Softobiz designs scalable systems built for multi-year durability.

• The organization builds long-term engineering ownership by integrating seamlessly into client core teams to retain contextual knowledge across complex projects.

• Softobiz maintains a workforce footprint between 201 to 500 employees, driving digital innovation and platform scaling across diverse global sectors.

• Headquartered with strategic delivery hubs in India, including Kochi, Softobiz continuously fosters talent in data analytics, cloud architecture, and automation.

• The firm actively empowers data-driven decision-making across niche verticals, including agriculture, food technology, and global commodity markets.

• Softobiz remains committed to structured professional development, equipping entry-level analysts and engineers with practical hands-on industry exposure.

Profile Overview

• The Junior Data Analyst and Market Analyst role at Softobiz is designed specifically for early-career professionals seeking hands-on exposure to data analytics.

• This position directly supports the business intelligence and analytical operations focused on the agriculture, food, and global commodity markets vertical.

• The successful candidate will work closely under the direct supervision of Lead, Mid-Level, and Senior Analysts to execute daily technical data tasks.

• Primary responsibilities center on end-to-end market data collection, database organization, and meticulous maintenance of source validation logs.

• The analyst will perform extensive data cleansing routines to detect, remove, or impute missing records, duplicate entries, and operational inconsistencies.

• Daily tasks involve running descriptive statistical analyses on large datasets to uncover underlying market trends, patterns, and operational anomalies.

• The individual will synthesize analytical outputs into clear visual artifacts, including structured charts, data summary tables, and executive reporting views.

• Active participation in qualitative and quantitative market research is required using verified industry sources, trade journals, and financial databases.

• The role demands drafting concise market briefs, policy updates, and analytical summary sections to be embedded into primary reporting deliverables.

• The analyst will assist senior team members in updating interactive business dashboards and executing supervised predictive modeling assignments.

• Rigorous documentation of data pipelines, statistical methodology, and code logic is required to support team-wide collaboration and context retention.

• Candidates are expected to actively incorporate constructive feedback from senior mentors to refine analytical precision and technical communication.

• The role provides a structured foundation in agricultural commodity analytics, economic indicators, supply chain trends, and macro-market mechanics.

• Candidates will gain practical knowledge in processing structured and semi-structured datasets within dynamic enterprise cloud and database environments.

• The position serves as an entry gateway into enterprise data engineering, market research methodology, and statistical forecasting frameworks.

• The role demands high reliability, attention to detail, and a proactive willingness to master new quantitative domain concepts rapidly.

• Softobiz offers an environment where entry-level analysts can bridge theoretical academic knowledge with real-world corporate problem-solving.

• This full-time, on-site engagement in Kochi provides direct daily interaction with cross-functional technology teams and industry strategists.

• The analyst will help map how agricultural supply chains move, contributing directly to client decision-making frameworks and business intelligence products.

• Candidates will develop transferable expertise in data manipulation, descriptive reporting, visual storytelling, and domain-specific market analysis.

Qualifications

• Educational background comprising a completed or ongoing degree in Mathematics, Applied Statistics, Economics, Data Science, or related quantitative fields.

• Strong foundational grasp of core statistical concepts, including mean, variance, correlation, standard deviation, probability distributions, and hypothesis testing.

• High numerical aptitude with a demonstrated capacity to analyze complex data series, identify numerical patterns, and derive logical inferences.

• Practical proficiency in Microsoft Excel for data processing, using functions like VLOOKUP, INDEX-MATCH, pivot tables, and conditional formatting tools.

• Hands-on exposure to programming languages such as Python or SQL obtained through academic coursework, personal projects, or internship experiences.

• Familiarity with Python data analysis libraries including Pandas, NumPy, Matplotlib, or Seaborn for data manipulation and visual plot generation.

• Understanding of relational database management systems and ability to construct basic SQL queries featuring SELECT, WHERE, GROUP BY, and JOIN clauses.

• Ability to articulate quantitative findings clearly through well-structured written reports, concise summaries, and verbal team presentations in English.

• Keen attention to detail necessary to catch subtle data discrepancies, data entry errors, and structural formatting flaws across large datasets.

• Strong personal organizational skills to maintain clear source lineage records, file structures, and version control for analytical artifacts.

• Proven interest in market dynamics, economic principles, or commodity trading ecosystems through coursework, research papers, or self-driven learning.

• Ability to work collaboratively within a team setting under the guidance of senior technical mentors while maintaining independent task completion.

• Comfort level working with raw, unstructured, or noisy datasets that require systematic cleaning, validation, and standardizing procedures.

• Capability to manage multiple task deadlines effectively while maintaining analytical accuracy and compliance with internal documentation standards.

• Receptive attitude toward technical code reviews, constructive feedback, and continuous peer-to-peer learning opportunities.

• Basic understanding of business intelligence tools and data visualization principles used to convey complex quantitative trends to stakeholders.

• Familiarity with basic mathematical modeling, linear regression, or trendline estimation techniques used in market forecasting scenarios.

• Capacity to conduct targeted web research to gather reliable macro-economic indices, agricultural yield reports, and food commodity trade statistics.

• Willingness to commit to an on-site work arrangement at the Softobiz Kochi facility to facilitate daily collaboration and direct mentorship.

• High ethical standards regarding data privacy, proprietary business logic, and confidential client market intelligence.

• Demonstrated curiosity to explore underlying business drivers behind numerical trends rather than executing basic computational instructions passively.

• Adaptability to absorb domain-specific jargon related to food security, crop yield metrics, commodity logistics, and trade balance indicators.

• Readiness to learn enterprise dashboarding applications like Tableau or PowerBI under the direct instruction of senior engineering team members.

• Strong problem-solving mindset focused on simplifying raw complex figures into clear executive insights for internal and external consumers.

• Proficiency in using standard workplace productivity suites for document creation, slide presentation buildouts, and spreadsheet audit tracking.

Additional Info

• Preferred qualification includes prior academic thesis work, personal portfolio projects, or case studies involving economic forecasting or market analytics.

• Exposure to modern business intelligence and dashboarding software such as Power BI, Tableau, or Google Data Studio is considered a distinct advantage.

• Submission of a written analytical sample demonstrating clear data interpretation, logical structuring, and technical communication is highly beneficial.

• Experience handling real-world datasets related to agricultural yield rates, food commodity price indices, or international supply chains is desirable.

• Candidate must be open to continuous learning and technical upskilling in advanced SQL optimization, automated data pipelines, and scripting.

• Work environment fosters direct access to enterprise leadership, cloud modernization experts, and AI transformation strategists within the firm.

• The company provides access to modern development tools, database servers, and cloud computing infrastructure required for analytical workflows.

• On-site onboarding includes structured mentorship loops where junior analysts are paired with senior data practitioners for daily guidance.

• Softobiz maintains a transparent performance culture focused on compounding individual analytical skills alongside organizational expansion.

• Opportunities exist for career progression into specialized tracks such as Senior Market Analyst, Data Engineer, or Analytics Consultant.

• Kochi facility provides a collaborative, modern office setup equipped with modern technology hardware and high-speed enterprise connectivity.

• Employee initiatives encourage cross-functional learning across AI engineering, platform modernization, and enterprise cloud architecture teams.

• The position offers practical exposure to establishing Global Capability Centre operations and enterprise-scale offshore development models.

• Candidates will participate in periodic team knowledge sharing sessions to present project findings, analytical breakthroughs, and new tools.

• Softobiz emphasizes maintaining healthy work practices, open team communications, and structured workflow handoffs across all project teams.

• The analyst will learn how to handle data security protocols, client privacy standards, and regulatory compliance requirements in global markets.

• Work hours follow standard corporate schedules with flexibility aligned with global client timelines and deliverable reporting milestones.

• The role provides exposure to real-time market tracking mechanisms, enabling analysts to observe live commodity price shifts and supply changes.

• Successful candidates will build a robust professional foundation spanning data wrangling, market research, dashboard maintenance, and modeling.

• The company culture values proactivity, encouraging junior staff to suggest workflow automations and data cleaning efficiency improvements.

• Regular performance reviews offer transparent milestone tracking, skill assessment evaluations, and constructive guidance for career growth.

• Team structure promotes direct accountability, allowing junior analysts to take full ownership of specific reporting modules and data routines.

• Kochi office location provides standard corporate amenities, professional workspace setups, and access to a vibrant regional technology hub.

• Selected candidates will gain cross-industry perspectives by working alongside platform engineering teams building scalable enterprise platforms.

• The selection process includes evaluating candidates' analytical reasoning, basic coding aptitude, numerical literacy, and written communication skills.

Please click here to apply.