Position Title<\/span><\/span><\/b>
<\/span><\/p><\/td> | State Data Quality Assurance Officer<\/span><\/span>
<\/span><\/p><\/td><\/tr>Location<\/span><\/span><\/b>
<\/span><\/p><\/td> | Bangalore, Guwahati
<\/p><\/td><\/tr> | Organisation<\/span><\/span><\/b>
<\/span><\/p><\/td> | YR\n Gaitonde Medical Educational & Research Foundation (YRGMERF)<\/span><\/span>
<\/span><\/p><\/td><\/tr>Project<\/span><\/span><\/b>
<\/span><\/p><\/td> | Sentinel Community Surveillance for\n Early Warning and Response (HCG under TIFA)<\/span><\/span>
<\/span><\/p><\/td><\/tr>Experience Required<\/span><\/span><\/b>
<\/span><\/p><\/td> | Minimum 2 years of experience in data\n quality control for health or development programmes<\/span><\/span>
<\/span><\/p><\/td><\/tr>Compensation<\/span><\/span><\/b>
<\/span><\/p><\/td> | Remuneration\n will reflect the candidate\u2019s experience and skills, subject to the approved\n budget<\/span><\/span>
<\/span><\/p><\/td><\/tr><\/tbody><\/table> <\/span><\/span>
<\/span>About YRG MERF<\/span><\/span><\/b>
<\/span><\/p>Established\nin 1993, YRGMERF is a pioneering non\-governmental organisation in India,\ncommitted to transforming lives through integrated healthcare, inclusive\npartnerships, and forward\-looking research. Grounded in the values of integrity\nand sustainability, we address both immediate and evolving societal challenges empowering\ncommunities to attain equitable and lasting health outcomes. We provide\ncomprehensive services across prevention, care, support, and treatment,\nparticularly for those affected by HIV and other infectious diseases.<\/span><\/span>
<\/span><\/p>Role Overview<\/span><\/span><\/b>
<\/span><\/p>The State\nData Quality Assurance Officers implements the data quality assurance system,\nconducts data quality checks, and produces the analytical outputs that tell the\nState Coordinator about the progress of various activities, possible gaps and\nchallenges across districts that need support.<\/span><\/span>
<\/span><\/p> <\/span><\/span><\/b>
<\/p>\u200b<\/span><\/span><\/b>Key Responsibilities<\/span><\/span><\/b>
<\/span><\/div>- Supports\nimplementing the DQA system in the field by closely working with the district\ncoordinators and district resource persons.<\/span><\/span>
<\/span><\/span><\/li>- Builds\ncapacity of the district coordinators to support the community sentinels in\nusing IHIP reporting systems, help in improving the timely engagement with the\nresponse team and other stakeholders to clearly demonstrate how the data use\ncan improve the quality of outcomes.<\/span><\/span>
<\/span><\/span><\/li>- Receive data\nfrom District Coordinators on a fortnightly cycle. Cross\-check submitted data\nagainst training attendance registers, IHIP system records (where accessible),\nand State Coordinator field visit observations. Flag discrepancies and resolve\nthem before data enters the master tracker<\/span><\/span>
<\/span><\/span><\/li>- Produce\nmonthly data summaries with clear training needs, supporting individuals who\nneed one to one online mentoring to improve the quality of reporting.<\/span><\/span>
<\/span><\/span><\/li>- Conduct data\nquality audits: visit each state at least twice in every quarter for each of\nthe active community sentinels by verifying physically a sample of reported\ndata.<\/span><\/span>
<\/span><\/span><\/li>- Support the\nbaseline data collection exercise (Months 1\u20132) by translation and field testing\nof the data collection tools, training Outreach Coordinators on their use, and\nsupervising data entry and cleaning. The baseline establishes the starting\npoint against which all subsequent progress is measured \u2013 getting it right is\ncritical<\/span><\/span>
<\/span><\/span><\/li>- Help in the\nmid\-term and end\-line competency assessment exercises. Train assessors, and\nanalyse results<\/span><\/span>
<\/span><\/span><\/li>- Maintain a\ngender\-disaggregated data system. Given that ASHAs and ANMs are almost entirely\nwomen, and MOs and DSO staff are predominantly men, gender disaggregation is\nnot just a compliance requirement \u2013 it reveals whether training is reaching\ndifferent cadres equitably and whether there are differential barriers to skill\nuptake.<\/span><\/span><\/span>
<\/li><\/ul><\/div> <\/div><\/span> Requirements<\/h3>Qualifications\n& Skills<\/span><\/span><\/b>
<\/p>- Post\-graduate\ndegree in statistics, epidemiology, public health, demography, or social\nsciences with quantitative research methods training<\/span><\/span>
<\/span><\/li>- Minimum 2 years\nof experience in data quality control for health or development programmes<\/span><\/span>
<\/span><\/li>- Strong skills\nin MS Excel (pivot tables, charting, data validation). Familiarity with Stata,\nR, or SPSS is desirable for baseline data analysis<\/span><\/span>
<\/span><\/li>- Experience\ndesigning data collection tools for field use, including awareness of practical\nconstraints (literacy levels of data collectors, connectivity issues, time\nlimitations)<\/span><\/span>
<\/span><\/li>- Experience\nwith IDSP or any government health surveillance data system is a strong\nadvantage<\/span><\/span>
<\/span><\/li>- Fluency in\nEnglish and Hindi. Ability to communicate data findings in plain language to\nnon\-technical audiences<\/span><\/span>
<\/span><\/li>- Willingness\nto travel to project districts (estimated 4\u20136 trips during the project period)<\/span><\/span>
<\/span><\/li><\/ul> <\/span><\/span>
<\/p>YRG is an equal\-opportunity\norganisation. At YRG, we are committed to supporting inclusion and diversity as\npart of our values. We celebrate employee\u2019s differences in abilities, sexual\norientation, ethnicity, faith, and gender. Our team are people with different\nstrengths, experiences, and backgrounds, who share a passion for improving\npeople's lives.<\/span><\/span>
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